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World cloud intersection II
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depp.txt
John Christopher "Johnny" Depp II (born June 9, 1963) is an American actor, producer, and musician. He has won the Golden Globe Award and Screen Actors Guild Award for Best Actor. He rose to prominence on the 1980s television series 21 Jump Street, becoming a teen idol.
Since then, Depp has taken on challenging and "larger-than-life" roles, starting with a supporting role in Oliver Stone's Vietnam War film Platoon in 1986, then playing the title character in the romantic dark fantasy Edward Scissorhands (1990). He later found box office success in the fantasy adventure film Sleepy Hollow (1999), the fantasy swashbuckler film Pirates of the Caribbean: The Curse of the Black Pearl (2003) and its sequels, the musical adventure film Charlie and the Chocolate Factory (2005), the fantasy film Alice in Wonderland (2010) and voicing the title character in the animated action comedy western Rango (2011). He has collaborated on eight films with director and friend Tim Burton.
Depp is regarded as one of the world's biggest movie stars. He has gained worldwide critical acclaim for his portrayals of such people as screenwriter-director Ed Wood in Ed Wood, undercover FBI agent Joseph D. Pistone in Donnie Brasco, "gonzo" journalist Hunter S. Thompson in Fear and Loathing in Las Vegas, cocaine kingpin George Jung in Blow, Peter Pan author J. M. Barrie in Finding Neverland, and the Depression Era outlaw John Dillinger in Michael Mann's Public Enemies. Films featuring Depp have grossed over $3.1 billion at the United States box office and over $7.6 billion worldwide. His most commercially successful films are the Pirates of the Caribbean films, which have grossed $3 billion; Alice in Wonderland which grossed $1 billion; Charlie and the Chocolate Factory which grossed $474 million; and The Tourist which grossed $278 million worldwide.
Depp has been nominated for major acting awards, including three nominations for Academy Award for Best Actor. Depp won the Golden Globe Award for Best Actor – Motion Picture Musical or Comedy for Sweeney Todd: The Demon Barber of Fleet Street and the Screen Actors Guild Award for Outstanding Performance by a Male Actor in a Leading Role for Pirates of the Caribbean: The Curse of the Black Pearl. He has been listed in the 2012 Guinness World Records as the highest paid actor, with earnings of $75 million. Depp was inducted as a Disney Legend in 2015.
Depp was born in Owensboro, Kentucky, the youngest of four children of Betty Sue Palmer (née Wells), a waitress, and John Christopher Depp, a civil engineer. Depp moved frequently during his childhood. He and his siblings lived in more than 20 different places, eventually settling in Miramar, Florida in 1970. In 1978, when he was 15, Depp's parents divorced. His mother remarried to Robert Palmer (died 2000), whom Depp has called "an inspiration to me".
With the gift of a guitar from his mother when he was 12, Depp began playing in various garage bands. A year after his parents' divorce, Depp dropped out of high school to become a rock musician. He attempted to go back to school two weeks later, but the principal told him to follow his dream of being a musician. He played with The Kids, a band that enjoyed modest local success. The Kids set out together for Los Angeles in pursuit of a record deal, changing their name to Six Gun Method, but the group split up before signing a record deal. Depp subsequently collaborated with the band Rock City Angels and co-wrote their song "Mary", which appeared on Rock City Angels' debut Geffen Records album, Young Man's Blues.
On December 20, 1983 Depp married Lori Anne Allison, the sister of his band's bass player and singer. During their marriage she worked as a makeup artist while he worked a variety of odd jobs, including a telemarketer for pens. His wife introduced him to actor Nicolas Cage, who advised Depp to pursue an acting career. Depp and his wife divorced in 1985. Both Depp and his subsequent fiancée Sherilyn Fenn auditioned for the 1986 film Thrashin'. They were both cast, with Depp being chosen by the film's director to star as the lead, which would have been Depp's second major role. Depp was later turned down by the film's producer, who rejected the director's decision.
Depp's first major role was in the 1984 classic horror film A Nightmare on Elm Street, as the boyfriend of heroine Nancy Thompson (played by Heather Langenkamp) and one of Freddy Krueger's victims. The director of the 1986 American skating drama Thrashin' then cast Depp for the film's lead role; however, his decision was later overridden by the film's producer. In 1986, Depp appeared in a secondary role as a Vietnamese-speaking private in Oliver Stone's Platoon. Depp's first release in 1990 was Cry-Baby. Although the film did not achieve high audience numbers upon its initial release, over the years it has gained a cult classic status. Depp's next release that year saw him undertake the quirky title role of Tim Burton's film Edward Scissorhands, a critical and commercial success that established Depp as leading Hollywood actor and began his long association with Burton.
In 1994, Depp played the title role in Tim Burton's comedy-drama biographical film, Ed Wood, about one of history's most inept film directors. It received immense critical acclaim, with Janet Maslin of The New York Times writing that Depp had "proved himself as an established, certified great actor" and "captured all the can-do optimism that kept Ed Wood going, thanks to an extremely funny ability to look at the silver lining of any cloud." Depp was nominated for Golden Globe Award for Best Actor – Motion Picture Musical or Comedy for his performance.
In 1995 Depp starred in three films. He played opposite Marlon Brando in the box-office hit Don Juan DeMarco, as a man who believes he is Don Juan, the world's greatest lover. He next appeared in Dead Man, a Western shot entirely in black-and-white; it did poor business and had mixed critical reviews. Depp then appeared in the financial and critical failure Nick of Time, playing an accountant who is told to kill a politician to save his kidnapped daughter.
The 2003 Walt Disney Pictures film Pirates of the Caribbean: The Curse of the Black Pearl was a major success, in which Depp's performance as the suave but shambling pirate Captain Jack Sparrow was highly praised. Studio bosses were more ambivalent at first, but the character became popular with the movie-going public. According to a survey taken by Fandango, Depp was a major draw for audiences. The film's director, Gore Verbinski, has said that Depp's character closely resembles the actor's personality, but Depp said he modeled the character after The Rolling Stones' guitarist Keith Richards and cartoon skunk Pepé Le Pew. Depp was nominated for an Academy Award for Best Actor for the role.
In 2004, Depp was again nominated for the Best Actor Academy Award for his performance as Scottish author J. M. Barrie in the film Finding Neverland. He next starred as Willy Wonka in 2005's Charlie and the Chocolate Factory, a major box-office success that earned him a nomination for the Golden Globe Award for Best Actor in a Musical or Comedy.
Depp reprised the role of Jack Sparrow in the Pirates sequels Dead Man's Chest (2006), At World's End (2007) and On Stranger Tides (2011), each of which were major successes as well. Depp has said that Sparrow is "definitely a big part of me", and he even voiced the character in the video game Pirates of the Caribbean: The Legend of Jack Sparrow.
The swashbuckling sword talents Depp acquired for his role as Sparrow were highlighted in the documentary film Reclaiming the Blade. In the film, swordmaster Bob Anderson shared his experiences working with Depp on the choreography for The Curse of the Black Pearl, and described Depp's abilities as a sword-wielding actor to be "about as good as you can get."
Depp and Gore Verbinski were executive producers of the album Rogues Gallery, Pirate Ballads, Sea Songs and Chanteys. Depp played the title role of Sweeney Todd in Tim Burton's film adaptation of the musical, for which he won a Golden Globe Award for Best Actor – Motion Picture Musical or Comedy. Depp thanked the Hollywood Foreign Press Association and praised Tim Burton for his "unwavering trust and support."
In director Terry Gilliam's 2009 film The Imaginarium of Doctor Parnassus, Depp, Jude Law and Colin Farrell each played the character initially portrayed by their friend Heath Ledger, who died before the film was completed. All three actors gave their salaries to Ledger's daughter, Matilda.
Depp played the Mad Hatter in Burton's 2010 re-imagining of Alice in Wonderland, and the protagonist in the 2011 animated film Rango.
Depp played convicted Boston crime boss Whitey Bulger in director Scott Cooper's Black Mass (2015).
Depp has collaborated with director and close friend Tim Burton in films, beginning with Edward Scissorhands (1990), opposite Winona Ryder and Vincent Price. His next role with Burton was in the 1994 film Ed Wood. Depp later said that "within 10 minutes of hearing about the project, I was committed." At the time, the actor was depressed about films and filmmaking. This part gave him a "chance to stretch out and have some fun"; he said working with Martin Landau "rejuvenated my love for acting". Producer Scott Rudin once said "Basically Johnny Depp is playing Tim Burton in all his movies", although Burton personally disapproved of the comment. Depp, however, agrees with Rudin's statement. According to Depp, Edward Scissorhands represented Burton's inability to communicate as a teenager. Ed Wood reflected Burton's relationship with Vincent Price (very similar to Edward D. Wood, Jr. and Bela Lugosi).
Depp's next venture with Burton was the role of Ichabod Crane in Sleepy Hollow (1999), opposite Christina Ricci. Sleepy Hollow reflected Burton's battle with the Hollywood studio system. For his performance, Depp took inspiration from Angela Lansbury, Roddy McDowall and Basil Rathbone. Depp stated, "I always thought of Ichabod as a very delicate, fragile person who was maybe a little too in touch with his feminine side, like a frightened little girl."
Depp did not work with Burton again until 2005 in Charlie and the Chocolate Factory, in which he played Willy Wonka. The film was a box office success and received positive critical reception. Gene Wilder, who played Willy Wonka in the 1971 film, initially criticized this version. Charlie and the Chocolate Factory was released in July, followed by Corpse Bride, for which Depp voiced the character Victor Van Dort, in September.
Sweeney Todd: The Demon Barber of Fleet Street (2007) followed, bringing Depp his second major award win, the Golden Globe Award for Best Actor – Motion Picture Musical or Comedy as well as his third nomination for the Academy Award for Best Actor. Burton first gave him an original cast recording of the 1979 stage musical in 2000. Although not a fan of the musical genre, Depp grew to like the tale's treatment. He cited Peter Lorre in Mad Love (1935) as his main influence for the role, and practiced the songs his character would perform while filming Pirates of the Caribbean: At World's End. Although he had performed in musical groups, Depp was initially unsure that he would be able to sustain Stephen Sondheim's lyrics. Depp recorded demos and worked with Bruce Witkin to shape his vocals without a qualified voice coach. In the DVD Reviews section, Entertainment Weekly's Chris Nashawaty gave the film an A minus, stating, "Depp's soaring voice makes you wonder what other tricks he's been hiding ... Watching Depp's barber wield his razors ... it's hard not to be reminded of Edward Scissorhands frantically shaping hedges into animal topiaries 18 years ago ... and all of the twisted beauty we would've missed out on had [Burton and Depp] never met." In his introduction to Burton on Burton, a book of interviews with the director, Depp called Burton "... a brother, a friend, ... and [a] brave soul". The next Depp-Burton collaboration was Alice in Wonderland (2010). Depp played the Mad Hatter alongside Helena Bonham Carter, Anne Hathaway and Alan Rickman. In 2012, he starred in the Burton-directed Dark Shadows, a film based on the 1966–1971 gothic soap opera of the same name, alongside fellow Tim Burton regular Helena Bonham Carter, as well as Michelle Pfeiffer and Eva Green.
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elfman.txt
Daniel Robert "Danny" Elfman (born May 29, 1953) is an American composer, singer, songwriter, and record producer. He is known as the lead singer and songwriter for the rock band Oingo Boingo, from 1976 to 1995 and later for scoring music for television and film and creating The Simpsons main title theme as well as the 1989 Batman film theme. He has scored the majority of his long-time friend Tim Burton's films.
Elfman re-entered the film industry in 1976, initially as an actor. He made his film scoring debut in 1982 for the film Forbidden Zone directed by his older brother Richard Elfman. He has since been nominated for four Academy Awards and won a Grammy Award for Best Instrumental Composition Written for a Motion Picture, Television or Other Visual Media for Tim Burton's Batman and an Emmy Award for his Desperate Housewives theme. Elfman was honored with the Richard Kirk Award at the 2002 BMI Film and TV Awards; the award is given annually to a composer who has made significant contributions to film and television music. He was also inducted as a Disney Legend in 2015.
Danny Elfman was born in Los Angeles, California, into a Jewish family. He is the son of Blossom Elfman (née Bernstein), a writer and teacher, and Milton Elfman, a teacher who was in the Air Force. He was raised in a racially mixed community in the Baldwin Hills area of Los Angeles. He spent much of his time in the local movie theatre, adoring the music of such film composers as Bernard Herrmann and Franz Waxman. Stating that he hung out with the "band geeks" in high school, he started a ska band. After dropping out of high school, he followed his brother Richard to France, where he performed with Le Grand Magic Circus, an avant-garde musical theater group. Violin in tow, Elfman next journeyed to Africa where he traveled through Ghana, Mali, and Upper Volta, absorbing new musical styles, including the Ghanaian highlife genre which would eventually influence his own music.[citation needed]
He contracted malaria during his one-year stay and was often sick. Eventually he returned home to the United States, where he began to take Balinese music lessons at CalArts. During this time, he was romantically involved with Kim Gordon, who would later go on to form Sonic Youth. He was never officially a student at the institute; nonetheless, the instructor encouraged him to continue learning. Elfman stated, "He just laughed, and said, 'Sit. Play.' I continued to sit and play for a couple years." At this time, his brother was forming a new musical theater group.
In 1972 Richard Elfman founded the American new wave band/performance art group, originally called The Mystic Knights of the Oingo Boingo. They played several shows throughout the 1970s until Richard Elfman left the band to become a filmmaker. As a send-off to the band's original concept, Richard Elfman created the film Forbidden Zone based on their stage performances. Danny Elfman composed his first score for the film and played the role of Satan (the other band members played his minions). By the time the movie was completed, they had taken the name Oingo Boingo and begun recording and touring as a rock group. From 1976 and on, it was led by Danny Elfman, until 1995 when they suddenly retired. The semi-theatrical music and comedy troupe had transformed into a ska-influenced new wave band in 1979, and then changed again towards a more guitar-oriented rock sound, in the late 1980s.[citation needed]. Oingo Boingo, still led by Danny Elfman, performed as themselves in the 1986 movie Back to School.
In 1985, Tim Burton and Paul Reubens invited Elfman to write the score for their first feature film, Pee-wee's Big Adventure. Elfman was apprehensive at first because of his lack of formal training, but with orchestration assistance from Oingo Boingo guitarist and arranger Steve Bartek, he achieved his goal of emulating the mood of such composers as Nino Rota and Bernard Herrmann. In the booklet for the first volume of Music for a Darkened Theatre, Elfman described the first time he heard his music played by a full orchestra as one of the most thrilling experiences of his life. Elfman immediately developed a rapport with Burton and has gone on to score all but two of Burton's major studio releases: Ed Wood which was under production while Elfman and Burton were having a serious disagreement, and Sweeney Todd. Elfman also provided the singing voice for Jack Skellington in Tim Burton's The Nightmare Before Christmas and the voices of both Barrel and the "Clown with the Tear-Away Face". Years later he provided the voice for Bonejangles the skeleton in Corpse Bride.
Burton has said of his relationship with Elfman: "We don't even have to talk about the music. We don't even have to intellectualize – which is good for both of us, we're both similar that way. We're very lucky to connect" (Breskin, 1997).
Modern classicist composers, including Béla Bartók, Philip Glass, Lou Harrison, Carl Orff, Harry Partch, Sergei Prokofiev, Maurice Ravel, Erik Satie, Igor Stravinsky, and Pyotr Ilyich Tchaikovsky have influenced the style of Elfman's music. Elfman cited his first time noticing film music being when he heard Bernard Hermann's score to The Day the Earth Stood Still as an eleven-year-old and being a fan of film music since then. Other influences based in film music include Erich Wolfgang Korngold, Max Steiner, David Tamkin, and Franz Waxman. Also, Nino Rota served as a significant influence and was the main inspiration for Elfman's score to Pee-wee's Big Adventure.
When asked during a 2007 phone-in interview on XETRA-FM if he ever had any notions of performing in an Oingo Boingo reunion, Elfman immediately rejected the idea and stated that in the last few years with the band he had begun to develop significant and irreversible hearing damage as a result of his continuous exposure to the high noise levels involved in performing in a rock band. He went on to say that he believes his hearing damage is partially due to a genetic predisposition to hearing loss, and that he will never return to the stage for fear of worsening not only his condition but also that of his band mates.
Elfman recently composed the music for the Cirque du Soleil Show Iris, which was performed at the Dolby Theatre in Hollywood. The production began on July 21, 2011, and ended on January 19, 2013. This is Elfman's most significant non-film work since he composed Serenada Schizophrana for the American Composers Orchestra. It was conducted by John Mauceri on its recording and by Steven Sloane at its premiere at Carnegie Hall in New York City on February 23, 2005. After its premiere, it was recorded in studio and released onto SACD on October 3, 2006. The meeting with Mauceri proved fruitful as the composer was encouraged then to write a new concert piece for Mauceri and the Hollywood Bowl Orchestra. Elfman composed an "overture to a non-existent musical" and called the piece "The Overeager Overture". He also continues to compose his film scores in addition to these other projects. In November 2010, it was reported that Danny Elfman is writing the music for a planned musical based on the life of Harry Houdini. But, as of January 2012, he was no longer attached to the project.
In October 2013, Elfman returned to the stage to sing his vocal parts to a handful of Nightmare Before Christmas songs as part of a concert titled Danny Elfman's Music from the Films of Tim Burton. He composed the film score for Oz the Great and Powerful (2013), and composed additional music for Avengers: Age of Ultron (2015).
Elfman has three children: Lola (born 1979), Mali (born 1984), and Oliver (born 2005). On November 29, 2003, he married actress Bridget Fonda. In 1997, he scored A Simple Plan, his only score for one of her films to date (although he did compose a cue for the film Army of Darkness, in which Fonda has a cameo). In the late 1960s and early 1970s, he dated Sonic Youth's Kim Gordon.
He is the uncle of actor Bodhi Elfman, who is married to actress Jenna Elfman.
Describing his politics during the 1980s, Elfman said, "I'm not a doomist. My attitude is always to be critical of what's around you, but not ever to forget how lucky we are. I've traveled around the world. I left thinking I was a revolutionary. I came back real right-wing patriotic. Since then, I've kind of mellowed in between." In 2008, he expressed support for Barack Obama and said that Sarah Palin was his "worst nightmare".
Elfman's scores for Batman and Edward Scissorhands were nominated for AFI's 100 Years of Film Scores.
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english_stopwords_long.txt
word
danny
johnny
elfman's
depp
depp's
elfman
will
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two
three
four
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six
seven
eight
nine
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a
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about
above
abst
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across
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adj
affected
affecting
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again
against
ah
all
almost
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along
already
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among
amongst
an
and
announce
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any
anybody
anyhow
anymore
anyone
anything
anyway
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apparently
approximately
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aren
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around
as
aside
ask
asking
at
auth
available
away
awfully
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being
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besides
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both
brief
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but
by
c
ca
came
can
cannot
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causes
certain
certainly
co
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come
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contain
containing
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date
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doing
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down
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during
e
each
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edu
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eight
eighty
either
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end
ending
enough
especially
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et-al
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even
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everything
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ff
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he
hed
he'd
he'll
hence
her
here
hereafter
hereby
herein
heres
hereupon
hers
herself
hes
he's
hi
him
himself
his
how
how's
howbeit
however
i
id
i'd
ie
if
i'll
im
i'm
immediate
immediately
in
inc
indeed
index
instead
into
inward
is
isnt
isn't
it
itd
it'd
itll
it'll
its
it's
itself
ive
i've
j
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k
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l
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later
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ltd
m
made
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many
may
maybe
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means
meantime
meanwhile
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mg
might
million
miss
ml
more
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most
mostly
mr
mrs
much
mug
must
my
myself
n
na
name
namely
nay
nd
near
nearly
necessarily
necessary
need
needs
neither
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next
no
nobody
non
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nor
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nothing
now
nowhere
o
obviously
of
off
often
oh
ok
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on
once
ones
one's
only
onto
or
ord
other
others
otherwise
ought
our
ours
ourselves
out
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over
overall
owing
own
p
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particular
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past
per
perhaps
please
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possible
possibly
potentially
pp
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primarily
probably
promptly
put
q
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quickly
quite
qv
r
rather
rd
re
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readily
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recent
recently
ref
refs
regarding
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related
relatively
respectively
resulted
resulting
retweet
rt
s
's
said
same
saw
say
saying
says
sec
seem
seemed
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seems
seen
self
selves
sent
several
shall
she
she'd
she'll
shes
she's
should
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shown
showns
shows
significant
significantly
similar
similarly
since
slightly
so
some
somebody
somehow
someone
somethan
something
sometime
sometimes
somewhat
somewhere
soon
sorry
specifically
specified
specify
specifying
still
stop
strongly
sub
substantially
successfully
such
sufficiently
sup
'sup
sure
t
take
taken
taking
tell
tends
th
than
thank
thanks
thanx
that
that'll
thats
that's
that've
the
their
theirs
them
themselves
then
thence
there
thereafter
thereby
thered
there'd
therefore
therein
there'll
thereof
therere
there're
theres
there's
thereto
thereupon
there've
these
they
theyd
they'd
they'll
theyre
they're
theyve
they've
think
thinks
this
those
thou
though
thoughh
thousand
throug
through
throughout
thru
thus
til
to
together
too
took
tooks
toward
towards
tried
tries
truly
try
trying
ts
twice
u
un
under
unfortunately
unless
unlike
unlikely
until
unto
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us
use
used
useful
usefully
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using
usually
v
value
various
've
very
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viz
vol
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vs
w
want
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what's
when
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whenever
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whereafter
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whereby
wherein
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where's
whereupon
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whim
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whoever
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whomever
whos
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widely
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with
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words
world
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x
y
yes
yet
you
youd
you'd
youll
you'll
your
you're
youre
yours
yourself
yourselves
youve
you've
z
Raw
index.coffee
svg = d3.select('svg')
width = svg.node().getBoundingClientRect().width
height = svg.node().getBoundingClientRect().height
treemap = d3.layout.treemap()
.size([width, height])
.value((node) -> node.count)
.sort((a,b) ->
return +1 if a.name is 'a' or b.name is 'b'
return -1 if a.name is 'b' or b.name is 'a'
return a.count-b.count
)
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if node.depth is 0
return [0,0,40,0] # make room for set labels
else if node.depth is 1
return 4
else
return 0
)
.round(false) # bugfix: d3 wrong ordering
correct_x = d3.scale.linear()
.domain([0, width])
.range([0, width*1.05])
correct_y = d3.scale.linear()
.domain([0, height])
.range([0, height*3/4])
# define a stable color scale to differentiate words and sets
color = (txt, set) ->
iset = {'a': 0, 'intersection': 1, 'b': 2}[set]
Math.seedrandom(txt+'abcdef')
noise = (W) -> Math.random()*W - W/2
d3.hcl(45+iset*90+noise(90), 40, 50)
# translate the viewBox to have (0,0) at the center of the vis
svg
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viewBox: "#{-width/2} #{-height/2} #{width} #{height}"
# append a group for zoomable content
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# GEOMETRIC ZOOM
zoomable_layer
.attr
transform: "translate(#{zoom.translate()})scale(#{zoom.scale()})"
# bind the zoom behavior to the main SVG
svg.call(zoom)
# group the visualization
vis = zoomable_layer.append('g')
.attr
transform: "translate(#{-width/2},#{-height/2})"
d3.csv 'english_stopwords_long.txt', (stopwords_array) ->
# build an index of stopwords
stopwords = {}
stopwords_array.forEach (w) -> stopwords[w.word] = true
d3.text 'depp.txt', (infovis_txt) ->
data_a = nlp.ngram(infovis_txt, {min_count: 1, max_size: 1})[0].filter (w) -> w.word not of stopwords
index_a = {}
data_a.forEach (d) ->
index_a[d.word] = d
d3.text 'elfman.txt', (hci_txt) ->
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index_b = {}
data_b.forEach (d) ->
index_b[d.word] = d
diff_a = data_a.filter (a) -> a.word not of index_b
diff_b = data_b.filter (b) -> b.word not of index_a
intersection = []
data_a.forEach (a) ->
data_b.forEach (b) ->
if a.word is b.word
min = Math.min(a.count, b.count)
intersection.push {word: a.word, count: min}
if a.count-min > 0
diff_a.push {word: a.word, count: a.count-min}
if b.count-min > 0
diff_b.push {word: b.word, count: b.count-min}
a = {
children: (diff_a.filter (d) -> d.count > 1),
name: "a"
}
intersection = {
children: (intersection.filter (d) -> d.count > 1),
name: "intersection"
}
b = {
children: (diff_b.filter (d) -> d.count > 1),
name: "b"
}
tree = {
children: [a,intersection,b],
name: "root"
}
nodes_data = treemap.nodes(tree)
labels = vis.selectAll('.label')
.data(nodes_data.filter((node) -> node.depth is 2))
enter_labels = labels.enter().append('svg')
.attr
class: 'label'
enter_labels.append('text')
.text((node) -> node.word.toUpperCase())
.attr
dy: '0.35em'
fill: (node) -> color(node.word, node.parent.name)
.each (node) ->
bbox = this.getBBox()
bbox_aspect = bbox.width / bbox.height
node_bbox = {width: node.dx, height: node.dy}
node_bbox_aspect = node_bbox.width / node_bbox.height
rotate = bbox_aspect >= 1 and node_bbox_aspect < 1 or bbox_aspect < 1 and node_bbox_aspect >= 1
node.label_bbox = {
x: bbox.x+(bbox.width-correct_x(bbox.width))/2,
y: bbox.y+(bbox.height-correct_y(bbox.height))/2,
width: correct_x(bbox.width),
height: correct_y(bbox.height)
}
if rotate
node.label_bbox = {
x: node.label_bbox.y,
y: node.label_bbox.x,
width: node.label_bbox.height,
height: node.label_bbox.width
}
d3.select(this).attr('transform', 'rotate(-90)')
enter_labels
.attr
x: (node) -> node.x
y: (node) -> node.y
width: (node) -> node.dx
height: (node) -> node.dy
viewBox: (node) -> "#{node.label_bbox.x} #{node.label_bbox.y} #{node.label_bbox.width} #{node.label_bbox.height}"
preserveAspectRatio: 'none'
# draw set labels
vis.append('text')
.text('Johnny Depp')
.attr
class: 'set_label'
x: a.x + a.dx/2
y: height - 22
dy: '0.35em'
vis.append('text')
.text('D ∩ E')
.attr
class: 'set_label'
x: intersection.x + intersection.dx/2
y: height - 22
dy: '0.35em'
vis.append('text')
.text('Danny Elfman')
.attr
class: 'set_label'
x: b.x + b.dx/2
y: height - 22
dy: '0.35em'
Raw
index.css
svg {
background: white;
}
.node {
shape-rendering: crispEdges;
vector-effect: non-scaling-stroke;
stroke: white;
stroke-width: 2;
}
.label {
pointer-events: none;
text-anchor: middle;
font-family: Impact;
}
.set_label {
fill: #444;
font-family: serif;
font-size: 26px;
text-anchor: middle;
font-weight: bold;
}
Raw
index.html
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script src="http://davidbau.com/encode/seedrandom-min.js"></script>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="nlp.js"></script>
<link rel="stylesheet" type="text/css" href="index.css">
<title>Word cloud intersection II</title>
</head>
<body>
<svg width="960px" height="500px"></svg>
<script src="index.js"></script>
</body>
</html>
Raw
index.js
// Generated by CoffeeScript 1.10.0
(function() {
var color, correct_x, correct_y, height, svg, treemap, vis, width, zoom, zoomable_layer;
svg = d3.select('svg');
width = svg.node().getBoundingClientRect().width;
height = svg.node().getBoundingClientRect().height;
treemap = d3.layout.treemap().size([width, height]).value(function(node) {
return node.count;
}).sort(function(a, b) {
if (a.name === 'a' || b.name === 'b') {
return +1;
}
if (a.name === 'b' || b.name === 'a') {
return -1;
}
return a.count - b.count;
}).ratio(3).padding(function(node) {
if (node.depth === 0) {
return [0, 0, 40, 0];
} else if (node.depth === 1) {
return 4;
} else {
return 0;
}
}).round(false);
correct_x = d3.scale.linear().domain([0, width]).range([0, width * 1.05]);
correct_y = d3.scale.linear().domain([0, height]).range([0, height * 3 / 4]);
color = function(txt, set) {
var iset, noise;
iset = {
'a': 0,
'intersection': 1,
'b': 2
}[set];
Math.seedrandom(txt + 'abcdef');
noise = function(W) {
return Math.random() * W - W / 2;
};
return d3.hcl(45 + iset * 90 + noise(90), 40, 50);
};
svg.attr({
viewBox: (-width / 2) + " " + (-height / 2) + " " + width + " " + height
});
zoomable_layer = svg.append('g');
zoom = d3.behavior.zoom().scaleExtent([1, 10]).on('zoom', function() {
return zoomable_layer.attr({
transform: "translate(" + (zoom.translate()) + ")scale(" + (zoom.scale()) + ")"
});
});
svg.call(zoom);
vis = zoomable_layer.append('g').attr({
transform: "translate(" + (-width / 2) + "," + (-height / 2) + ")"
});
d3.csv('english_stopwords_long.txt', function(stopwords_array) {
var stopwords;
stopwords = {};
stopwords_array.forEach(function(w) {
return stopwords[w.word] = true;
});
return d3.text('depp.txt', function(infovis_txt) {
var data_a, index_a;
data_a = nlp.ngram(infovis_txt, {
min_count: 1,
max_size: 1
})[0].filter(function(w) {
return !(w.word in stopwords);
});
index_a = {};
data_a.forEach(function(d) {
return index_a[d.word] = d;
});
return d3.text('elfman.txt', function(hci_txt) {
var a, b, data_b, diff_a, diff_b, enter_labels, index_b, intersection, labels, nodes_data, tree;
data_b = nlp.ngram(hci_txt, {
min_count: 1,
max_size: 1
})[0].filter(function(w) {
return !(w.word in stopwords);
});
index_b = {};
data_b.forEach(function(d) {
return index_b[d.word] = d;
});
diff_a = data_a.filter(function(a) {
return !(a.word in index_b);
});
diff_b = data_b.filter(function(b) {
return !(b.word in index_a);
});
intersection = [];
data_a.forEach(function(a) {
return data_b.forEach(function(b) {
var min;
if (a.word === b.word) {
min = Math.min(a.count, b.count);
intersection.push({
word: a.word,
count: min
});
if (a.count - min > 0) {
diff_a.push({
word: a.word,
count: a.count - min
});
}
if (b.count - min > 0) {
return diff_b.push({
word: b.word,
count: b.count - min
});
}
}
});
});
a = {
children: diff_a.filter(function(d) {
return d.count > 1;
}),
name: "a"
};
intersection = {
children: intersection.filter(function(d) {
return d.count > 1;
}),
name: "intersection"
};
b = {
children: diff_b.filter(function(d) {
return d.count > 1;
}),
name: "b"
};
tree = {
children: [a, intersection, b],
name: "root"
};
nodes_data = treemap.nodes(tree);
labels = vis.selectAll('.label').data(nodes_data.filter(function(node) {
return node.depth === 2;
}));
enter_labels = labels.enter().append('svg').attr({
"class": 'label'
});
enter_labels.append('text').text(function(node) {
return node.word.toUpperCase();
}).attr({
dy: '0.35em',
fill: function(node) {
return color(node.word, node.parent.name);
}
}).each(function(node) {
var bbox, bbox_aspect, node_bbox, node_bbox_aspect, rotate;
bbox = this.getBBox();
bbox_aspect = bbox.width / bbox.height;
node_bbox = {
width: node.dx,
height: node.dy
};
node_bbox_aspect = node_bbox.width / node_bbox.height;
rotate = bbox_aspect >= 1 && node_bbox_aspect < 1 || bbox_aspect < 1 && node_bbox_aspect >= 1;
node.label_bbox = {
x: bbox.x + (bbox.width - correct_x(bbox.width)) / 2,
y: bbox.y + (bbox.height - correct_y(bbox.height)) / 2,
width: correct_x(bbox.width),
height: correct_y(bbox.height)
};
if (rotate) {
node.label_bbox = {
x: node.label_bbox.y,
y: node.label_bbox.x,
width: node.label_bbox.height,
height: node.label_bbox.width
};
return d3.select(this).attr('transform', 'rotate(-90)');
}
});
enter_labels.attr({
x: function(node) {
return node.x;
},
y: function(node) {
return node.y;
},
width: function(node) {
return node.dx;
},
height: function(node) {
return node.dy;
},
viewBox: function(node) {
return node.label_bbox.x + " " + node.label_bbox.y + " " + node.label_bbox.width + " " + node.label_bbox.height;
},
preserveAspectRatio: 'none'
});
vis.append('text').text('Johnny Depp').attr({
"class": 'set_label',
x: a.x + a.dx / 2,
y: height - 22,
dy: '0.35em'
});
vis.append('text').text('D ∩ E').attr({
"class": 'set_label',
x: intersection.x + intersection.dx / 2,
y: height - 22,
dy: '0.35em'
});
return vis.append('text').text('Danny Elfman').attr({
"class": 'set_label',
x: b.x + b.dx / 2,
y: height - 22,
dy: '0.35em'
});
});
});
});
}).call(this);
Raw
nlp.js
(function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(require,module,exports){
// nlp_comprimise by @spencermountain in 2014
// most files are self-contained modules that optionally export for nodejs
// this file loads them all together
// if we're server-side, grab files, otherwise assume they're prepended already
// console.time('nlp_boot')
var parents = require("./src/parents/parents")
var sentence_parser = require('./src/methods/tokenization/sentence');
var tokenize = require('./src/methods/tokenization/tokenize');
var ngram = require('./src/methods/tokenization/ngram');
//tokenize
var normalize = require('./src/methods/transliteration/unicode_normalisation')
var syllables = require('./src/methods/syllables/syllable');
//localization
var americanize = require('./src/methods/localization/americanize')
var britishize = require('./src/methods/localization/britishize')
//part of speech tagging
var pos = require('./src/pos');
//named_entity_recognition
var spot = require('./src/spot');
///
// define the api
var nlp = {
noun: parents.noun,
adjective: parents.adjective,
verb: parents.verb,
adverb: parents.adverb,
value: parents.value,
sentences: sentence_parser,
ngram: ngram,
tokenize: tokenize,
americanize: americanize,
britishize: britishize,
syllables: syllables,
normalize: normalize.normalize,
denormalize: normalize.denormalize,
pos: pos,
spot: spot
}
//export it for client-side
if (typeof window!=="undefined") { //is this right?
window.nlp = nlp
}
//export it for server-side
module.exports = nlp;
// console.timeEnd('nlp_boot')
// console.log( nlp.pos('she sells seashells by the seashore').sentences[0].negate().text() )
// console.log( nlp.pos('i will slouch'));
// console.log( nlp.pos('Sally Davidson sells seashells by the seashore. Joe Biden said so.').people() )
// console.log(nlp.pos("Tony Danza is great. He works in the bank.").sentences[1].tokens[0].analysis.reference_to())
// console.log(nlp.pos("the FBI was hacked. He took their drugs.").sentences[1].tokens[2].analysis.reference_to())
},{"./src/methods/localization/americanize":17,"./src/methods/localization/britishize":18,"./src/methods/syllables/syllable":19,"./src/methods/tokenization/ngram":20,"./src/methods/tokenization/sentence":21,"./src/methods/tokenization/tokenize":22,"./src/methods/transliteration/unicode_normalisation":23,"./src/parents/parents":35,"./src/pos":45,"./src/spot":48}],2:[function(require,module,exports){
//the lexicon is a large hash of words and their predicted part-of-speech.
// it plays a bootstrap-role in pos tagging in this library.
// to save space, most of the list is derived from conjugation methods,
// and other forms are stored in a compact way
var multiples = require("./lexicon/multiples")
var values = require("./lexicon/values")
var demonyms = require("./lexicon/demonyms")
var abbreviations = require("./lexicon/abbreviations")
var honourifics = require("./lexicon/honourifics")
var uncountables = require("./lexicon/uncountables")
var firstnames = require("./lexicon/firstnames")
var irregular_nouns = require("./lexicon/irregular_nouns")
//verbs
var verbs = require("./lexicon/verbs")
var verb_conjugate = require("../parents/verb/conjugate/conjugate")
var verb_irregulars = require("../parents/verb/conjugate/verb_irregulars")
var phrasal_verbs = require("./lexicon/phrasal_verbs")
var adjectives = require("./lexicon/adjectives")
var adj_to_adv = require("../parents/adjective/conjugate/to_adverb")
var to_superlative = require("../parents/adjective/conjugate/to_superlative")
var to_comparative = require("../parents/adjective/conjugate/to_comparative")
var convertables = require("../parents/adjective/conjugate/convertables")
var main = {
"etc": "FW", //foreign words
"ie": "FW",
"there": "EX",
"better": "JJR",
"earlier": "JJR",
"has": "VB",
"more": "RBR",
"sounds": "VBZ"
}
var compact = {
//conjunctions
"CC": [
"yet",
"therefore",
"or",
"while",
"nor",
"whether",
"though",
"because",
"but",
"for",
"and",
"if",
"however",
"before",
"although",
"how",
"plus",
"versus",
"not"
],
"VBD": [
"where'd",
"when'd",
"how'd",
"what'd",
"said",
"had",
"been",
"began",
"came",
"did",
"meant",
"went"
],
"VBN": [
"given",
"known",
"shown",
"seen",
"born",
],
"VBG": [
"going",
"being",
"according",
"resulting",
"developing",
"staining"
],
//copula
"CP": [
"is",
"will be",
"are",
"was",
"were",
"am",
"isn't",
"ain't",
"aren't"
],
//determiners
"DT": [
"this",
"any",
"enough",
"each",
"whatever",
"every",
"which",
"these",
"another",
"plenty",
"whichever",
"neither",
"an",
"a",
"least",
"own",
"few",
"both",
"those",
"the",
"that",
"various",
"what",
"either",
"much",
"some",
"else",
"no",
//some other languages (what could go wrong?)
"la",
"le",
"les",
"des",
"de",
"du",
"el"
],
//prepositions
"IN": [
"until",
"onto",
"of",
"into",
"out",
"except",
"across",
"by",
"between",
"at",
"down",
"as",
"from",
"around",
"with",
"among",
"upon",
"amid",
"to",
"along",
"since",
"about",
"off",
"on",
"within",
"in",
"during",
"per",
"without",
"throughout",
"through",
"than",
"via",
"up",
"unlike",
"despite",
"below",
"unless",
"towards",
"besides",
"after",
"whereas",
"'o",
"amidst",
"amongst",
"apropos",
"atop",
"barring",
"chez",
"circa",
"mid",
"midst",
"notwithstanding",
"qua",
"sans",
"vis-a-vis",
"thru",
"till",
"versus",
"without",
"w/o",
"o'",
"a'",
],
//modal verbs
"MD": [
"can",
"may",
"could",
"might",
"will",
"ought to",
"would",
"must",
"shall",
"should",
"ought",
"shouldn't",
"wouldn't",
"couldn't",
"mustn't",
"shan't",
"shant",
"lets", //arguable
"who'd",
"let's"
],
//posessive pronouns
"PP": [
"mine",
"something",
"none",
"anything",
"anyone",
"theirs",
"himself",
"ours",
"his",
"my",
"their",
"yours",
"your",
"our",
"its",
"nothing",
"herself",
"hers",
"themselves",
"everything",
"myself",
"itself",
"her", //this one is pretty ambiguous
"who",
"whom",
"whose"
],
//personal pronouns (nouns)
"PRP": [
"it",
"they",
"i",
"them",
"you",
"she",
"me",
"he",
"him",
"ourselves",
"us",
"we",
"thou",
"il",
"elle",
"yourself",
"'em"
],
//some manual adverbs (the rest are generated)
"RB": [
"now",
"again",
"already",
"soon",
"directly",
"toward",
"forever",
"apart",
"instead",
"yes",
"alone",
"ago",
"indeed",
"ever",
"quite",
"perhaps",
"where",
"then",
"here",
"thus",
"very",
"often",
"once",
"never",
"why",
"when",
"away",
"always",
"sometimes",
"also",
"maybe",
"so",
"just",
"well",
"several",
"such",
"randomly",
"too",
"rather",
"abroad",
"almost",
"anyway",
"twice",
"aside",
"moreover",
"anymore",
"newly",
"damn",
"somewhat",
"somehow",
"meanwhile",
"hence",
"further",
"furthermore"
],
//interjections
"UH": [
"uhh",
"uh-oh",
"ugh",
"sheesh",
"eww",
"pff",
"voila",
"oy",
"eep",
"hurrah",
"yuck",
"ow",
"duh",
"oh",
"hmm",
"yeah",
"whoa",
"ooh",
"whee",
"ah",
"bah",
"gah",
"yaa",
"phew",
"gee",
"ahem",
"eek",
"meh",
"yahoo",
"oops",
"d'oh",
"psst",
"argh",
"grr",
"nah",
"shhh",
"whew",
"mmm",
"yay",
"uh-huh",
"boo",
"wow",
"nope"
],
//nouns that shouldnt be seen as a verb
"NN": [
"president",
"dollar",
"student",
"patent",
"funding",
"morning",
"banking",
"ceiling",
"energy",
"secretary",
"purpose",
"friends",
"event"
]
}
//unpack the compact terms into the main lexicon..
var i, arr;
var keys = Object.keys(compact)
var l = keys.length
for (i = 0; i < l; i++) {
arr = compact[keys[i]]
for (i2 = 0; i2 < arr.length; i2++) {
main[arr[i2]] = keys[i];
}
}
//add values
keys = Object.keys(values)
l = keys.length
for (i = 0; i < l; i++) {
main[keys[i]] = "CD"
}
//add demonyms
l = demonyms.length
for (i = 0; i < l; i++) {
main[demonyms[i]] = "JJ"
}
//add abbreviations
l = abbreviations.length
for (i = 0; i < l; i++) {
main[abbreviations[i]] = "NNAB"
}
//add honourifics
l = honourifics.length
for (i = 0; i < l; i++) {
main[honourifics[i]] = "NNAB"
}
//add uncountable nouns
l = uncountables.length
for (i = 0; i < l; i++) {
main[uncountables[i]] = "NN"
}
//add irregular nouns
l = irregular_nouns.length
for (i = 0; i < l; i++) {
main[irregular_nouns[i][0]] = "NN"
main[irregular_nouns[i][1]] = "NNS"
}
//add firstnames
Object.keys(firstnames).forEach(function (k) {
main[k] = "NNP"
})
//add multiple-word terms
Object.keys(multiples).forEach(function (k) {
main[k] = multiples[k]
})
//add phrasal verbs
Object.keys(phrasal_verbs).forEach(function (k) {
main[k] = phrasal_verbs[k]
})
//add verbs
//conjugate all verbs. takes ~8ms. triples the lexicon size.
var c;
l = verbs.length;
for (i = 0; i < l; i++) {
//add conjugations
c = verb_conjugate(verbs[i])
main[c.infinitive] = main[c.infinitive] || "VBP"
main[c.past] = main[c.past] || "VBD"
main[c.gerund] = main[c.gerund] || "VBG"
main[c.present] = main[c.present] || "VBZ"
if (c.doer) {
main[c.doer] = main[c.doer] || "NNA"
}
if (c.participle) {
main[c.participle] = main[c.participle] || "VBN"
}
}
//add irregular verbs
l = verb_irregulars.length;
for (i = 0; i < l; i++) {
c = verb_irregulars[i]
main[c.infinitive] = main[c.infinitive] || "VBP"
main[c.gerund] = main[c.gerund] || "VBG"
main[c.past] = main[c.past] || "VBD"
main[c.present] = main[c.present] || "VBZ"
if (c.doer) {
main[c.doer] = main[c.doer] || "NNA"
}
if (c.participle) {
main[c.future] = main[c.future] || "VB"
}
}
//add adjectives
//conjugate all of these adjectives to their adverbs. (13ms)
var tmp, j;
l = adjectives.length;
for (i = 0; i < l; i++) {
main[adjectives[i]] = "JJ"
}
keys = Object.keys(convertables)
l = keys.length;
for (i = 0; i < l; i++) {
j = keys[i]
main[j] = "JJ"
//add adverb form
tmp = adj_to_adv(j)
if (tmp && tmp !== j && !main[tmp]) {
main[tmp] = main[tmp] || "RB"
}
//add comparative form
tmp = to_comparative(j)
if (tmp && !tmp.match(/^more ./) && tmp !== j && !main[tmp]) {
main[tmp] = main[tmp] || "JJR"
}
//add superlative form
tmp = to_superlative(j)
if (tmp && !tmp.match(/^most ./) && tmp !== j && !main[tmp]) {
main[tmp] = main[tmp] || "JJS"
}
}
module.exports = main;
// console.log(lexicon['once again']=="RB")
// console.log(lexicon['seven']=="CD")
// console.log(lexicon['sleep']=="VBP")
// console.log(lexicon['slept']=="VBD")
// console.log(lexicon['sleeping']=="VBG")
// // console.log(lexicon['completely'])
// console.log(lexicon['pretty']=="JJ")
// console.log(lexicon['canadian']=="JJ")
// console.log(lexicon['july']=="CD")
// console.log(lexicon[null]===undefined)
// console.log(lexicon["dr"]==="NNAB")
// console.log(lexicon["hope"]==="NN")
// console.log(lexicon["higher"]==="JJR")
// console.log(lexicon["earlier"]==="JJR")
// console.log(lexicon["larger"]==="JJR")
// console.log(lexicon["says"]==="VBZ")
// console.log(lexicon["sounds"]==="VBZ")
// console.log(lexicon["means"]==="VBZ")
// console.log(lexicon["look after"]==="VBP")
// console.log(Object.keys(lexicon).length)
// console.log(lexicon['prettier']=="JJR")
// console.log(lexicon['prettiest']=="JJS")
// console.log(lexicon['tony']=="NNP")
// console.log(lexicon['loaf']=="NN")
// console.log(lexicon['loaves']=="NNS")
// console.log(lexicon['he']=="PRP")
},{"../parents/adjective/conjugate/convertables":24,"../parents/adjective/conjugate/to_adverb":25,"../parents/adjective/conjugate/to_comparative":26,"../parents/adjective/conjugate/to_superlative":28,"../parents/verb/conjugate/conjugate":39,"../parents/verb/conjugate/verb_irregulars":42,"./lexicon/abbreviations":3,"./lexicon/adjectives":4,"./lexicon/demonyms":5,"./lexicon/firstnames":6,"./lexicon/honourifics":7,"./lexicon/irregular_nouns":8,"./lexicon/multiples":9,"./lexicon/phrasal_verbs":10,"./lexicon/uncountables":11,"./lexicon/values":12,"./lexicon/verbs":13}],3:[function(require,module,exports){
//these are common word shortenings used in the lexicon and sentence segmentation methods
//there are all nouns, or at the least, belong beside one.
var honourifics = require("./honourifics") //stored seperately, for 'noun.is_person()'
var main = [
//common abbreviations
"arc", "al", "ave", "blvd", "cl", "ct", "cres", "exp", "rd", "st", "dist", "mt", "ft", "fy", "hwy", "la", "pd", "pl", "plz", "tce", "vs", "etc", "esp", "llb", "md", "bl", "ma", "ba", "lit", "fl", "ex", "eg", "ie",
//place main
"ala", "ariz", "ark", "cal", "calif", "col", "colo", "conn", "del", "fed", "fla", "ga", "ida", "ind", "ia", "kan", "kans", "ken", "ky", "la", "md", "mich", "minn", "mont", "neb", "nebr", "nev", "okla", "penna", "penn", "pa", "dak", "tenn", "tex", "ut", "vt", "va", "wash", "wis", "wisc", "wy", "wyo", "usafa", "alta", "ont", "que", "sask", "yuk", "bc",
//org main
"dept", "univ", "assn", "bros", "inc", "ltd", "co", "corp",
//proper nouns with exclamation marks
"yahoo", "joomla", "jeopardy"
]
//person titles like 'jr', (stored seperately)
main = main.concat(honourifics)
module.exports = main;
},{"./honourifics":7}],4:[function(require,module,exports){
//adjectives that either aren't covered by rules, or have superlative/comparative forms
//this list is the seed, from which various forms are conjugated
module.exports= [
"colonial",
"moody",
"literal",
"actual",
"probable",
"apparent",
"usual",
"aberrant",
"ablaze",
"able",
"absolute",
"aboard",
"abrupt",
"absent",
"absorbing",
"abundant",
"accurate",
"adult",
"afraid",
"agonizing",
"ahead",
"aloof",
"amazing",
"arbitrary",
"arrogant",
"asleep",
"astonishing",
"average",
"awake",
"aware",
"awkward",
"back",
"bad",
"bankrupt",
"bawdy",
"beneficial",
"bent",
"best",
"better",
"bizarre",
"bloody",
"bouncy",
"brilliant",
"broken",
"burly",
"busy",
"cagey",
"careful",
"caring",
"certain",
"chief",
"chilly",
"civil",
"clever",
"closed",
"cloudy",
"colossal",
"commercial",
"common",
"complete",
"complex",
"concerned",
"concrete",
"congruent",
"constant",
"cooing",
"correct",
"cowardly",
"craven",
"cuddly",
"daily",
"damaged",
"damaging",
"dapper",
"dashing",
"deadpan",
"deeply",
"defiant",
"degenerate",
"delicate",
"delightful",
"desperate",
"determined",
"didactic",
"difficult",
"discreet",
"done",
"double",
"doubtful",
"downtown",
"dreary",
"east",
"eastern",
"elderly",
"elegant",
"elfin",
"elite",
"eminent",
"encouraging",
"entire",
"erect",
"ethereal",
"exact",
"expert",
"extra",
"exuberant",
"exultant",
"false",
"fancy",
"faulty",
"female",
"fertile",
"fierce ",
"financial",
"first",
"fit",
"fixed",
"flagrant",
"foamy",
"foolish",
"foregoing",
"foreign",
"former",
"fortunate",
"frantic",
"freezing",
"frequent",
"fretful",
"friendly",
"fun",
"furry",
"future",
"gainful",
"gaudy",
"giant",
"giddy",
"gigantic",
"gleaming",
"global",
"gold",
"gone",
"good",
"goofy",
"graceful",
"grateful",
"gratis",
"gray",
"grey",
"groovy",
"gross",
"guarded",
"half",
"handy",
"hanging",
"hateful",
"heady",
"heavenly",
"hellish",
"helpful",
"hesitant",
"highfalutin",
"homely",
"honest",
"huge",
"humdrum",
"hurried",
"hurt",
"icy",
"ignorant",
"ill",
"illegal",
"immediate",
"immense",
"imminent",
"impartial",
"imperfect",
"imported",
"initial",
"innate",
"inner",
"inside",
"irate",
"jolly",
"juicy",
"junior",
"juvenile",
"kaput",
"kindly",
"knowing",
"labored",
"languid",
"latter",
"learned",
"left",
"legal",
"lethal",
"level",
"lewd",
"likely",
"literate",
"lively",
"living",
"lonely",
"longing",
"loutish",
"lovely",
"loving",
"lowly",
"luxuriant",
"lying",
"macabre",
"madly",
"magenta",
"main",
"major",
"makeshift",
"male",
"mammoth",
"measly",
"meaty",
"medium",
"mere",
"middle",
"miniature",
"minor",
"miscreant",
"mobile",
"moldy",
"mute",
"naive",
"nearby",
"necessary",
"neighborly",
"next",
"nimble",
"nonchalant",
"nondescript",
"nonstop",
"north",
"nosy",
"obeisant",
"obese",
"obscene",
"observant",
"obsolete",
"offbeat",
"official",
"ok",
"open",
"opposite",
"organic",
"outdoor",
"outer",
"outgoing",
"oval",
"over",
"overall",
"overt",
"overweight",
"overwrought",
"painful",
"past",
"peaceful",
"perfect",
"petite",
"picayune",
"placid",
"plant",
"pleasant",
"polite",
"potential",
"pregnant",
"premium",
"present",
"pricey",
"prickly",
"primary",
"prior",
"private",
"profuse",
"proper",
"public",
"pumped",
"puny",
"quack",
"quaint",
"quickest",
"rabid",
"racial",
"ready",
"real",
"rebel",
"recondite",
"redundant",
"relevant",
"remote",
"resolute",
"resonant",
"right",
"rightful",
"ritzy",
"robust",
"romantic",
"roomy",
"rough",
"royal",
"salty",
"same",
"scary",
"scientific",
"screeching",
"second",
"secret",
"secure",
"sedate",
"seemly",
"selfish",
"senior",
"separate",
"severe",
"shiny",
"shocking",
"shut",
"shy",
"sick",
"significant",
"silly",
"sincere",
"single",
"skinny",
"slight",
"slimy",
"smelly",
"snobbish",
"social",
"somber",
"sordid",
"sorry",
"southern",
"spare",
"special",
"specific",
"spicy",
"splendid",
"squeamish",
"standard",
"standing",
"steadfast",
"steady",
"stereotyped",
"still",
"striped",
"stupid",
"sturdy",
"subdued",
"subsequent",
"substantial",
"sudden",
"super",
"superb",
"superficial",
"supreme",
"sure",
"taboo",
"tan",
"tasteful",
"tawdry",
"telling",
"temporary",
"terrific",
"tested",
"thoughtful",
"tidy",
"tiny",
"top",
"torpid",
"tranquil",
"trite",
"ugly",
"ultra",
"unbecoming",
"understood",
"uneven",
"unfair",
"unlikely",
"unruly",
"unsightly",
"untidy",
"unwritten",
"upbeat",
"upper",
"uppity",
"upset",
"upstairs",
"uptight",
"used",
"useful",
"utter",
"uttermost",
"vagabond",
"vanilla",
"various",
"vengeful",
"verdant",
"violet",
"volatile",
"wanting",
"wary",
"wasteful",
"weary",
"weekly",
"welcome",
"western",
"whole",
"wholesale",
"wiry",
"wistful",
"womanly",
"wooden",
"woozy",
"wound",
"wrong",
"wry",
"zany",
"sacred",
"unknown",
"detailed",
"ongoing",
"prominent",
"permanent",
"diverse",
"partial",
"moderate",
"contemporary",
"intense",
"widespread",
"ultimate",
"ideal",
"adequate",
"sophisticated",
"naked",
"dominant",
"precise",
"intact",
"adverse",
"genuine",
"subtle",
"universal",
"resistant",
"routine",
"distant",
"unexpected",
"soviet",
"blind",
"artificial",
"mild",
"legitimate",
"unpublished",
"superior",
"intermediate",
"everyday",
"dumb",
"excess",
"sexy",
"fake",
"monthly",
"premature",
"sheer",
"generic",
"insane",
"contrary",
"twin",
"upcoming",
"bottom",
"costly",
"indirect",
"sole",
"unrelated",
"hispanic",
"improper",
"underground",
"legendary",
"reluctant",
"beloved",
"inappropriate",
"corrupt",
"irrelevant",
"justified",
"obscure",
"profound",
"hostile",
"influential",
"inadequate",
"abstract",
"timely",
"authentic",
"bold",
"intimate",
"straightforward",
"rival",
"right-wing",
"racist",
"symbolic",
"unprecedented",
"loyal",
"talented",
"troubled",
"noble",
"instant",
"incorrect",
"dense",
"blond",
"deliberate",
"blank",
"rear",
"feminine",
"apt",
"stark",
"alcoholic",
"teenage",
"vibrant",
"humble",
"vain",
"covert",
"bland",
"trendy",
"foul",
"populist",
"alarming",
"hooked",
"wicked",
"deaf",
"left-wing",
"lousy",
"malignant",
"stylish",
"upscale",
"hourly",
"refreshing",
"cozy",
"slick",
"dire",
"yearly",
"inbred",
"part-time",
"finite",
"backwards",
"nightly",
"unauthorized",
"cheesy",
"indoor",
"surreal",
"bald",
"masculine",
"shady",
"spirited",
"eerie",
"horrific",
"smug",
"stern",
"hefty",
"savvy",
"bogus",
"elaborate",
"gloomy",
"pristine",
"extravagant",
"serene",
"advanced",
"perverse",
"devout",
"crisp",
"rosy",
"slender",
"melancholy",
"faux",
"phony",
"danish",
"lofty",
"nuanced",
"lax",
"adept",
"barren",
"shameful",
"sleek",
"solemn",
"vacant",
"dishonest",
"brisk",
"fluent",
"insecure",
"humid",
"menacing",
"moot",
"soothing",
"self-loathing",
"far-reaching",
"harrowing",
"scathing",
"perplexing",
"calming",
"unconvincing",
"unsuspecting",
"unassuming",
"surprising",
"unappealing",
"vexing",
"unending",
"easygoing",
"appetizing",
"disgruntled",
"retarded",
"undecided",
"unregulated",
"unsupervised",
"unrecognized",
"crazed",
"distressed",
"jagged",
"paralleled",
"cramped",
"warped",
"antiquated",
"fabled",
"deranged",
"diseased",
"ragged",
"intoxicated",
"hallowed",
"crowded",
"ghastly",
"disorderly",
"saintly",
"wily",
"sly",
"sprightly",
"ghostly",
"oily",
"hilly",
"grisly",
"earthly",
"friendly",
"unwieldy",
"many",
"most",
"last",
"expected",
"far",
"due",
"divine",
"all",
"together",
"only",
"outside",
"multiple",
"appropriate",
"evil",
"favorite",
"limited",
"random",
"republican",
"okay",
"essential",
"secondary",
"gay",
"south",
"pro",
"northern",
"urban",
"acute",
"prime",
"arab",
"overnight",
"mixed",
"crucial",
"behind",
"above",
"beyond",
"against",
"under",
"other",
"less"
]
},{}],5:[function(require,module,exports){
//adjectival forms of place names, as adjectives.
module.exports= [
"afghan",
"albanian",
"algerian",
"argentine",
"armenian",
"australian",
"aussie",
"austrian",
"bangladeshi",
"belgian",
"bolivian",
"bosnian",
"brazilian",
"bulgarian",
"cambodian",
"canadian",
"chilean",
"chinese",
"colombian",
"croat",
"cuban",
"czech",
"dominican",
"egyptian",
"british",
"estonian",
"ethiopian",
"finnish",
"french",
"gambian",
"georgian",
"german",
"greek",
"haitian",
"hungarian",
"indian",
"indonesian",
"iranian",
"iraqi",
"irish",
"israeli",
"italian",
"jamaican",
"japanese",
"jordanian",
"kenyan",
"korean",
"kuwaiti",
"latvian",
"lebanese",
"liberian",
"libyan",
"lithuanian",
"macedonian",
"malaysian",
"mexican",
"mongolian",
"moroccan",
"dutch",
"nicaraguan",
"nigerian",
"norwegian",
"omani",
"pakistani",
"palestinian",
"filipino",
"polish",
"portuguese",
"qatari",
"romanian",
"russian",
"rwandan",
"samoan",
"saudi",
"scottish",
"senegalese",
"serbian",
"singaporean",
"slovak",
"somali",
"sudanese",
"swedish",
"swiss",
"syrian",
"taiwanese",
"thai",
"tunisian",
"ugandan",
"ukrainian",
"american",
"hindi",
"spanish",
"venezuelan",
"vietnamese",
"welsh",
"african",
"european",
"asian",
"californian",
]
},{}],6:[function(require,module,exports){
// common first-names in compressed form.
//from http://www.ssa.gov/oact/babynames/limits.html and http://www.servicealberta.gov.ab.ca/pdf/vs/2001_Boys.pdf
//not sure what regional/cultural/demographic bias this has. Probably a lot.
// 73% of people are represented in the top 1000 names
//used to reduce redundant named-entities in longer text. (don't spot the same person twice.)
//used to identify gender for coreference resolution
var main = []
//an ad-hoc prefix encoding for names. 2ms decompression of names
var male_names = {
"will": "iam,ie,ard,is,iams",
"fred": ",erick,die,rick,dy",
"marc": "us,,o,os,el",
"darr": "ell,yl,en,el,in",
"fran": "k,cis,cisco,klin,kie",
"terr": "y,ance,ence,ell",
"rand": "y,all,olph,al",
"brad": "ley,,ford,y",
"jeff": "rey,,ery,ry",
"john": ",ny,nie,athan",
"greg": "ory,,g,orio",
"mar": "k,tin,vin,io,shall,ty,lon,lin",
"car": "l,los,lton,roll,y,ey",
"ken": "neth,,t,ny,dall,drick",
"har": "old,ry,vey,ley,lan,rison",
"ste": "ven,phen,ve,wart,phan,rling",
"jer": "ry,emy,ome,emiah,maine,ald",
"mic": "hael,heal,ah,key,hel",
"dar": "yl,in,nell,win,ius",
"dan": "iel,ny,,e",
"wil": "bur,son,bert,fred,fredo",
"ric": "hard,ky,ardo,k,key",
"cli": "fford,nton,fton,nt,ff",
"cla": "rence,ude,yton,rk,y",
"ben": "jamin,,nie,ny,ito",
"rod": "ney,erick,olfo,ger,",
"rob": "ert,erto,bie,",
"gar": "y,ry,rett,land",
"sam": "uel,,my,mie",
"and": "rew,re,y,res",
"jos": "eph,e,hua,h",
"joe": ",l,y,sph",
"leo": "nard,n,,nardo",
"tom": ",my,as,mie",
"bry": "an,ant,ce,on",
"ant": "hony,onio,oine,on",
"jac": "k,ob,kson",
"cha": "rles,d,rlie,se",
"sha": "wn,ne,un",
"bre": "nt,tt,ndan,t",
"jes": "se,us,s",
"al": "bert,an,len,fred,exander,ex,vin,lan,fredo,berto,ejandro,fonso,ton,,onzo,i,varo",
"ro": "nald,ger,y,nnie,land,n,ss,osevelt,gelio,lando,man,cky,yce,scoe,ry",
"de": "nnis,rek,an,rrick,lbert,vin,wey,xter,wayne,metrius,nis,smond",
"ja": "mes,son,y,red,vier,ke,sper,mal,rrod",
"el": "mer,lis,bert,ias,ijah,don,i,ton,liot,liott,vin,wood",
"ma": "tthew,nuel,urice,thew,x,tt,lcolm,ck,son",
"do": "nald,uglas,n,nnie,ug,minic,yle,mingo,minick",
"er": "ic,nest,ik,nesto,ick,vin,nie,win",
"ra": "ymond,lph,y,mon,fael,ul,miro,phael",
"ed": "ward,win,die,gar,uardo,,mund,mond",
"co": "rey,ry,dy,lin,nrad,rnelius",
"le": "roy,wis,ster,land,vi",
"lo": "uis,nnie,renzo,ren,well,uie,u,gan",
"da": "vid,le,ve,mon,llas,mian,mien",
"jo": "nathan,n,rge,rdan,nathon,aquin",
"ru": "ssell,ben,dolph,dy,fus,ssel,sty",
"ke": "vin,ith,lvin,rmit",
"ar": "thur,nold,mando,turo,chie,mand",
"re": "ginald,x,ynaldo,uben,ggie",
"ge": "orge,rald,ne,rard,offrey,rardo",
"la": "rry,wrence,nce,urence,mar,mont",
"mo": "rris,ses,nte,ises,nty",
"ju": "an,stin,lio,lian,lius,nior",
"pe": "ter,dro,rry,te,rcy",
"tr": "avis,oy,evor,ent",
"he": "nry,rbert,rman,ctor,ath",
"no": "rman,el,ah,lan,rbert",
"em": "anuel,il,ilio,mett,manuel",
"wa": "lter,yne,rren,llace,de",
"mi": "ke,guel,lton,tchell,les",
"sa": "lvador,lvatore,ntiago,ul,ntos",
"ch": "ristopher,ris,ester,ristian,uck",
"pa": "ul,trick,blo,t",
"st": "anley,uart,an",
"hu": "gh,bert,go,mberto",
"br": "ian,uce,andon,ain",
"vi": "ctor,ncent,rgil,cente",
"ca": "lvin,meron,leb",
"gu": "y,illermo,stavo",
"lu": "is,ther,ke,cas",
"gr": "ant,ady,over,aham",
"ne": "il,lson,al,d",
"t": "homas,imothy,odd,ony,heodore,im,yler,ed,yrone,aylor,erence,immy,oby,eddy,yson",
"s": "cott,ean,idney,ergio,eth,pencer,herman,ylvester,imon,heldon,cotty,olomon",
"r": "yan",
"n": "icholas,athan,athaniel,ick,icolas",
"a": "dam,aron,drian,ustin,ngelo,braham,mos,bel,gustin,ugust,dolfo",
"b": "illy,obby,arry,ernard,ill,ob,yron,lake,ert,oyd,illie,laine,art,uddy,urton",
"e": "ugene,arl,verett,nrique,van,arnest,frain,than,steban",
"h": "oward,omer,orace,ans,al",
"p": "hillip,hilip,reston,hil,ierre",
"c": "raig,urtis,lyde,ecil,esar,edric,leveland,urt",
"j": "immy,im,immie",
"g": "lenn,ordon,len,ilbert,abriel,ilberto",
"m": "elvin,yron,erle,urray",
"k": "yle,arl,urt,irk,ristopher",
"o": "scar,tis,liver,rlando,mar,wen,rville,tto",
"l": "loyd,yle,ionel",
"f": "loyd,ernando,elix,elipe,orrest,abian,idel",
"w": "esley,endell,m,oodrow,inston",
"d": "ustin,uane,wayne,wight,rew,ylan",
"z": "achary",
"v": "ernon,an,ance",
"i": "an,van,saac,ra,rving,smael,gnacio,rvin",
"q": "uentin,uinton",
"x": "avier"
}
var female_names = {
"mari": "a,e,lyn,an,anne,na,ssa,bel,sa,sol,tza",
"kris": "ten,tin,tina,ti,tine,ty,ta,tie",
"jean": "ette,ne,nette,nie,ine,nine",
"chri": "stine,stina,sty,stie,sta,sti",
"marg": "aret,ie,arita,uerite,ret,o",
"ange": "la,lica,lina,lia,line",
"fran": "ces,cine,cisca",
"kath": "leen,erine,y,ryn,arine",
"sher": "ry,ri,yl,i,rie",
"caro": "l,lyn,line,le,lina",
"dian": "e,a,ne,na",
"jenn": "ifer,ie,y,a",
"luci": "lle,a,nda,le",
"kell": "y,i,ey,ie",
"rosa": ",lie,lind",
"jani": "ce,e,s,ne",
"stac": "y,ey,ie,i",
"shel": "ly,ley,ia",
"laur": "a,en,ie,el",
"trac": "y,ey,i,ie",
"jane": "t,,lle,tte",
"bett": "y,ie,e,ye",
"rose": "mary,marie,tta",
"joan": ",ne,n,na",
"mar": "y,tha,jorie,cia,lene,sha,yann,cella,ta,la,cy,tina",
"lor": "i,raine,etta,a,ena,ene,na,ie",
"sha": "ron,nnon,ri,wna,nna,na,una",
"dor": "othy,is,a,een,thy,othea",
"cla": "ra,udia,ire,rice,udette",
"eli": "zabeth,sa,sabeth,se,za",
"kar": "en,la,a,i,in",
"tam": "my,ara,i,mie,ika",
"ann": "a,,e,ie,ette",
"car": "men,rie,la,a,mela",
"mel": "issa,anie,inda",
"ali": "ce,cia,son,sha,sa",
"bri": "ttany,dget,ttney,dgette",
"lyn": "n,da,ne,ette",
"del": "ores,la,ia,oris",
"ter": "esa,ri,i",
"son": "ia,ya,ja,dra",
"deb": "orah,ra,bie,ora",
"jac": "queline,kie,quelyn,lyn",
"lat": "oya,asha,onya,isha",
"che": "ryl,lsea,ri,rie",
"vic": "toria,ki,kie,ky",
"sus": "an,ie,anne,ana",
"rob": "erta,yn",
"est": "her,elle,ella,er",
"lea": "h,,nne,nn",
"lil": "lian,lie,a,y",
"ma": "ureen,ttie,xine,bel,e,deline,ggie,mie,ble,ndy,ude,yra,nuela,vis,gdalena,tilda",
"jo": "yce,sephine,,di,dy,hanna,sefina,sie,celyn,lene,ni,die",
"be": "verly,rtha,atrice,rnice,th,ssie,cky,linda,ulah,rnadette,thany,tsy,atriz",
"ca": "therine,thy,ssandra,ndace,ndice,mille,itlin,ssie,thleen,llie",
"le": "slie,na,ona,ticia,igh,la,nora,ola,sley,ila",
"el": "aine,len,eanor,sie,la,ena,oise,vira,sa,va,ma",
"sa": "ndra,rah,ra,lly,mantha,brina,ndy,die,llie",
"mi": "chelle,ldred,chele,nnie,riam,sty,ndy,randa,llie",
"co": "nnie,lleen,nstance,urtney,ra,rinne,nsuelo,rnelia",
"ju": "lie,dith,dy,lia,anita,ana,stine",
"da": "wn,nielle,rlene,na,isy,rla,phne",
"re": "becca,nee,na,bekah,ba",
"al": "ma,lison,berta,exandra,yssa,ta",
"ra": "chel,mona,chael,quel,chelle",
"an": "drea,ita,a,gie,toinette,tonia",
"ge": "raldine,rtrude,orgia,nevieve,orgina",
"de": "nise,anna,siree,na,ana,e",
"ja": "smine,na,yne",
"lu": "cy,z,la,pe,ella,isa",
"je": "ssica,nifer,well,ri",
"ad": "a,rienne,die,ele,riana,eline",
"pa": "tricia,mela,ula,uline,tsy,m,tty,ulette,tti,trice,trica,ige",
"ke": "ndra,rri,isha,ri",
"mo": "nica,lly,nique,na,llie",
"lo": "uise,is,la",
"he": "len,ather,idi,nrietta,lene,lena",
"me": "gan,rcedes,redith,ghan,agan",
"wi": "lma,lla,nnie",
"ga": "il,yle,briela,brielle,le",
"er": "in,ica,ika,ma,nestine",
"ce": "cilia,lia,celia,leste,cile",
"ka": "tie,y,trina,yla,te",
"ol": "ga,ivia,lie,a",
"li": "nda,sa,ndsay,ndsey,zzie",
"na": "ncy,talie,omi,tasha,dine",
"la": "verne,na,donna,ra",
"vi": "rginia,vian,ola",
"ha": "rriet,nnah",
"pe": "ggy,arl,nny,tra",
"br": "enda,andi,ooke",
"ki": "mberly,m,mberley,rsten",
"au": "drey,tumn,dra",
"bo": "nnie,bbie,nita,bbi",
"do": "nna,lores,lly,minique",
"gl": "oria,adys,enda,enna",
"tr": "icia,ina,isha,udy",
"ta": "ra,nya,sha,bitha",
"ro": "sie,xanne,chelle,nda",
"am": "y,anda,ber,elia",
"fa": "ye,nnie,y",
"ni": "cole,na,chole,kki",
"ve": "ronica,ra,lma,rna",
"gr": "ace,etchen,aciela,acie",
"b": "arbara,lanca,arbra,ianca",
"r": "uth,ita,honda",
"s": "hirley,tephanie,ylvia,heila,uzanne,ue,tella,ophia,ilvia,ophie,tefanie,heena,ummer,elma,ocorro,ybil,imone",
"c": "ynthia,rystal,indy,harlene,ristina,leo",
"e": "velyn,mily,dna,dith,thel,mma,va,ileen,unice,ula,ssie,ffie,tta,ugenia",
"a": "shley,pril,gnes,rlene,imee,bigail,ida,bby,ileen",
"t": "heresa,ina,iffany,helma,onya,oni,herese,onia",
"i": "rene,da,rma,sabel,nez,ngrid,va,mogene,sabelle",
"w": "anda,endy,hitney",
"p": "hyllis,riscilla,olly",
"n": "orma,ellie,ora,ettie,ell",
"f": "lorence,elicia,lora,reda,ern,rieda",
"v": "alerie,anessa",
"j": "ill,illian",
"y": "vonne,olanda,vette",
"g": "ina,wendolyn,wen,oldie",
"l": "ydia",
"m": "yrtle,yra,uriel,yrna",
"h": "ilda",
"o": "pal,ra,felia",
"k": "rystal",
"d": "ixie,ina",
"u": "rsula"
}
var ambiguous = [
"casey",
"jamie",
"lee",
"jaime",
"jessie",
"morgan",
"rene",
"robin",
"devon",
"kerry",
"alexis",
"guadalupe",
"blair",
"kasey",
"jean",
"marion",
"aubrey",
"shelby",
"jan",
"shea",
"jade",
"kenyatta",
"kelsey",
"shay",
"lashawn",
"trinity",
"regan",
"jammie",
"cassidy",
"cheyenne",
"reagan",
"shiloh",
"marlo",
"andra",
"devan",
"rosario",
"lee"
]
var i, arr, i2, l, keys;
//add data into the main obj
//males
keys = Object.keys(male_names)
l = keys.length
for (i = 0; i < l; i++) {
arr = male_names[keys[i]].split(',')
for (i2 = 0; i2 < arr.length; i2++) {
main[keys[i] + arr[i2]] = "m"
}
}
//females
keys = Object.keys(female_names)
l = keys.length
for (i = 0; i < l; i++) {
arr = female_names[keys[i]].split(',')
for (i2 = 0; i2 < arr.length; i2++) {
main[keys[i] + arr[i2]] = "f"
}
}
//unisex names
l = ambiguous.length
for (i = 0; i < l; i += 1) {
main[ambiguous[i]] = "a"
}
module.exports = main;
// console.log(firstnames['spencer'])
// console.log(firstnames['jill'])
// console.log(firstnames['sue'])
// console.log(firstnames['jan'])
// console.log(JSON.stringify(Object.keys(firstnames).length, null, 2));
},{}],7:[function(require,module,exports){
//these are common person titles used in the lexicon and sentence segmentation methods
//they are also used to identify that a noun is a person
var main = [
//honourifics
"jr",
"mr",
"mrs",
"ms",
"dr",
"prof",
"sr",
"sen",
"corp",
"rep",
"gov",
"atty",
"supt",
"det",
"rev",
"col",
"gen",
"lt",
"cmdr",
"adm",
"capt",
"sgt",
"cpl",
"maj",
"miss",
"misses",
"mister",
"sir",
"esq",
"mstr",
"phd",
"adj",
"adv",
"asst",
"bldg",
"brig",
"comdr",
"hon",
"messrs",
"mlle",
"mme",
"op",
"ord",
"pvt",
"reps",
"res",
"sens",
"sfc",
"surg",
]
module.exports = main;
},{}],8:[function(require,module,exports){
//nouns with irregular plural/singular forms
//used in noun.inflect, and also in the lexicon.
//compressed with '_' to reduce some redundancy.
var main=[
["child", "_ren"],
["person", "people"],
["leaf", "leaves"],
["database", "_s"],
["quiz", "_zes"],
["child", "_ren"],
["stomach", "_s"],
["sex", "_es"],
["move", "_s"],
["shoe", "_s"],
["goose", "geese"],
["phenomenon", "phenomena"],
["barracks", "_"],
["deer", "_"],
["syllabus", "syllabi"],
["index", "indices"],
["appendix", "appendices"],
["criterion", "criteria"],
["man", "men"],
["sex", "_es"],
["rodeo", "_s"],
["epoch", "_s"],
["zero", "_s"],
["avocado", "_s"],
["halo", "_s"],
["tornado", "_s"],
["tuxedo", "_s"],
["sombrero", "_s"],
["addendum", "addenda"],
["alga", "_e"],
["alumna", "_e"],
["alumnus", "alumni"],
["bacillus", "bacilli"],
["cactus", "cacti"],
["beau", "_x"],
["château", "_x"],
["chateau", "_x"],
["tableau", "_x"],
["corpus", "corpora"],
["curriculum", "curricula"],
["echo", "_es"],
["embargo", "_es"],
["foot", "feet"],
["genus", "genera"],
["hippopotamus", "hippopotami"],
["larva", "_e"],
["libretto", "libretti"],
["loaf", "loaves"],
["matrix", "matrices"],
["memorandum", "memoranda"],
["mosquito", "_es"],
["opus", "opera"],
["ovum", "ova"],
["ox", "_en"],
["radius", "radii"],
["referendum", "referenda"],
["thief", "thieves"],
["tooth", "teeth"]
]
main = main.map(function (a) {
a[1] = a[1].replace('_', a[0])
return a
})
module.exports = main;
},{}],9:[function(require,module,exports){
//common terms that are multi-word, but one part-of-speech
//these should not include phrasal verbs, like 'looked out'. These are handled elsewhere.
module.exports = {
"of course": "RB",
"at least": "RB",
"no longer": "RB",
"sort of": "RB",
"at first": "RB",
"once again": "RB",
"once more": "RB",
"up to": "RB",
"by now": "RB",
"all but": "RB",
"just about": "RB",
"on board": "JJ",
"a lot": "RB",
"by far": "RB",
"at best": "RB",
"at large": "RB",
"for good": "RB",
"vice versa": "JJ",
"en route": "JJ",
"for sure": "RB",
"upside down": "JJ",
"at most": "RB",
"per se": "RB",
"at worst": "RB",
"upwards of": "RB",
"en masse": "RB",
"point blank": "RB",
"up front": "JJ",
"in situ": "JJ",
"in vitro": "JJ",
"ad hoc": "JJ",
"de facto": "JJ",
"ad infinitum": "JJ",
"ad nauseam": "RB",
"for keeps": "JJ",
"a priori": "FW",
"et cetera": "FW",
"off guard": "JJ",
"spot on": "JJ",
"ipso facto": "JJ",
"not withstanding": "RB",
"de jure": "RB",
"a la": "IN",
"ad hominem": "NN",
"par excellence": "RB",
"de trop": "RB",
"a posteriori": "RB",
"fed up": "JJ",
"brand new": "JJ",
"old fashioned": "JJ",
"bona fide": "JJ",
"well off": "JJ",
"far off": "JJ",
"straight forward": "JJ",
"hard up": "JJ",
"sui generis": "JJ",
"en suite": "JJ",
"avant garde": "JJ",
"sans serif": "JJ",
"gung ho": "JJ",
"super duper": "JJ",
"new york":"NN",
"new england":"NN",
"new hampshire":"NN",
"new delhi":"NN",
"new jersey":"NN",
"new mexico":"NN",
"united states":"NN",
"united kingdom":"NN",
"great britain":"NN",
"head start":"NN"
}
},{}],10:[function(require,module,exports){
//phrasal verbs are two words that really mean one verb.
//'beef up' is one verb, and not some direction of beefing.
//by @spencermountain, 2015 mit
//many credits to http://www.allmyphrasalverbs.com/
var verb_conjugate = require("../../parents/verb/conjugate/conjugate")
//start the list with some randoms
var main = [
"be onto",
"fall behind",
"fall through",
"fool with",
"get across",
"get along",
"get at",
"give way",
"hear from",
"hear of",
"lash into",
"make do",
"run across",
"set upon",
"take aback",
"keep from"
]
//if there's a phrasal verb "keep on", there's often a "keep off"
var opposites = {
"away": "back",
"in": "out",
"on": "off",
"over": "under",
"together": "apart",
"up": "down"
}
//forms that have in/out symmetry
var symmetric = {
"away": "blow,bounce,bring,call,come,cut,drop,fire,get,give,go,keep,pass,put,run,send,shoot,switch,take,tie,throw",
"in": "bang,barge,bash,beat,block,book,box,break,bring,burn,butt,carve,cash,check,come,cross,drop,fall,fence,fill,give,grow,hand,hang,head,jack,keep,leave,let,lock,log,move,opt,pack,peel,pull,put,rain,reach,ring,rub,send,set,settle,shut,sign,smash,snow,strike,take,try,turn,type,warm,wave,wean,wear,wheel",
"on": "add,call,carry,catch,count,feed,get,give,go,grind,head,hold,keep,lay,log,pass,pop,power,put,send,show,snap,switch,take,tell,try,turn,wait",
"over": "come,go,look,read,run,talk",
"together": "come,pull,put",
"up": "add,back,beat,bend,blow,boil,bottle,break,bring,buckle,bundle,call,carve,clean,cut,dress,fill,flag,fold,get,give,grind,grow,hang,hold,keep,let,load,lock,look,man,mark,melt,move,pack,pin,pipe,plump,pop,power,pull,put,rub,scale,scrape,send,set,settle,shake,show,sit,slow,smash,square,stand,strike,take,tear,tie,turn,use,wash,wind",
}
Object.keys(symmetric).forEach(function (k) {
symmetric[k].split(',').forEach(function (s) {
//add the given form
main.push(s + " " + k)
//add its opposite form
main.push(s + " " + opposites[k])
})
})
//forms that don't have in/out symmetry
var asymmetric = {
"about": "bring,fool,gad,go,root",
"after": "go,look,take",
"ahead": "get,go,press",
"along": "bring,move",
"apart": "fall,take",
"around": "ask,boss,bring,call,come,fool,get,horse,joke,lie,mess,play",
"away": "back,carry,file,frighten,hide,wash",
"back": "fall,fight,hit,hold,look,pay,stand,think",
"by": "drop,get,go,stop,swear,swing,tick,zip",
"down": "bog,calm,fall,hand,hunker,jot,knock,lie,narrow,note,pat,pour,run,tone,trickle,wear",
"for": "fend,file,gun,hanker,root,shoot",
"forth": "bring,come",
"forward": "come,look",
"in": "cave,chip,hone,jump,key,pencil,plug,rein,shade,sleep,stop,suck,tie,trade,tuck,usher,weigh,zero",
"into": "look,run",
"it": "go,have",
"off": "auction,be,beat,blast,block,brush,burn,buzz,cast,cool,drop,end,face,fall,fend,frighten,goof,jack,kick,knock,laugh,level,live,make,mouth,nod,pair,pay,peel,read,reel,ring,rip,round,sail,shave,shoot,sleep,slice,split,square,stave,stop,storm,strike,tear,tee,tick,tip,top,walk,work,write",
"on": "bank,bargain,egg,frown,hit,latch,pile,prattle,press,spring,spur,tack,urge,yammer",
"out": "act,ask,back,bail,bear,black,blank,bleed,blow,blurt,branch,buy,cancel,cut,eat,edge,farm,figure,find,fill,find,fish,fizzle,flake,flame,flare,flesh,flip,geek,get,help,hide,hold,iron,knock,lash,level,listen,lose,luck,make,max,miss,nerd,pan,pass,pick,pig,point,print,psych,rat,read,rent,root,rule,run,scout,see,sell,shout,single,sit,smoke,sort,spell,splash,stamp,start,storm,straighten,suss,time,tire,top,trip,trot,wash,watch,weird,whip,wimp,wipe,work,zone,zonk",
"over": "bend,bubble,do,fall,get,gloss,hold,keel,mull,pore,sleep,spill,think,tide,tip",
"round": "get,go",
"through": "go,run",
"to": "keep,see",
"up": "act,beef,board,bone,boot,brighten,build,buy,catch,cheer,cook,end,eye,face,fatten,feel,fess,finish,fire,firm,flame,flare,free,freeze,freshen,fry,fuel,gang,gear,goof,hack,ham,heat,hit,hole,hush,jazz,juice,lap,light,lighten,line,link,listen,live,loosen,make,mash,measure,mess,mix,mock,mop,muddle,open,own,pair,patch,pick,prop,psych,read,rough,rustle,save,shack,sign,size,slice,slip,snap,sober,spark,split,spruce,stack,start,stay,stir,stitch,straighten,string,suck,suit,sum,team,tee,think,tidy,tighten,toss,trade,trip,type,vacuum,wait,wake,warm,weigh,whip,wire,wise,word,write,zip",
}
Object.keys(asymmetric).forEach(function (k) {
asymmetric[k].split(',').forEach(function (s) {
main.push(s + " " + k)
})
})
//at his point all verbs are infinitive. lets make this explicit.
main = main.reduce(function (h, s) {
h[s] = "VBP"
return h
}, {})
//conjugate every phrasal verb. takes ~30ms
var tags = {
present: "VB",
past: "VBD",
future: "VBF",
gerund: "VBG",
infinitive: "VBP",
}
var cache = {} //cache individual verbs to speed it up
var split, verb, particle, phrasal;
Object.keys(main).forEach(function (s) {
split = s.split(' ')
verb = split[0]
particle = split[1]
if (cache[verb] === undefined) {
cache[verb] = verb_conjugate(verb)
}
Object.keys(cache[verb]).forEach(function (k) {
phrasal = cache[verb][k] + " " + particle
main[phrasal] = tags[k]
})
})
module.exports = main;
// console.log(JSON.stringify(phrasal_verbs, null, 2))
},{"../../parents/verb/conjugate/conjugate":39}],11:[function(require,module,exports){
//common nouns that have no plural form. These are suprisingly rare
//used in noun.inflect(), and added as nouns in lexicon
module.exports=[
"aircraft",
"bass",
"bison",
"fowl",
"halibut",
"moose",
"salmon",
"spacecraft",
"tuna",
"trout",
"advice",
"information",
"knowledge",
"trouble",
"enjoyment",
"fun",
"recreation",
"relaxation",
"meat",
"rice",
"bread",
"cake",
"coffee",
"ice",
"water",
"oil",
"grass",
"hair",
"fruit",
"wildlife",
"equipment",
"machinery",
"furniture",
"mail",
"luggage",
"jewelry",
"clothing",
"money",
"mathematics",
"economics",
"physics",
"civics",
"ethics",
"gymnastics",
"mumps",
"measles",
"news",
"tennis",
"baggage",
"currency",
"soap",
"toothpaste",
"food",
"sugar",
"butter",
"flour",
"research",
"leather",
"wool",
"wood",
"coal",
"weather",
"homework",
"cotton",
"silk",
"patience",
"impatience",
"vinegar",
"art",
"beef",
"blood",
"cash",
"chaos",
"cheese",
"chewing",
"conduct",
"confusion",
"education",
"electricity",
"entertainment",
"fiction",
"forgiveness",
"gold",
"gossip",
"ground",
"happiness",
"history",
"honey",
"hospitality",
"importance",
"justice",
"laughter",
"leisure",
"lightning",
"literature",
"luck",
"melancholy",
"milk",
"mist",
"music",
"noise",
"oxygen",
"paper",
"pay",
"peace",
"peanut",
"pepper",
"petrol",
"plastic",
"pork",
"power",
"pressure",
"rain",
"recognition",
"sadness",
"safety",
"salt",
"sand",
"scenery",
"shopping",
"silver",
"snow",
"softness",
"space",
"speed",
"steam",
"sunshine",
"tea",
"thunder",
"time",
"traffic",
"trousers",
"violence",
"warmth",
"wine",
"steel",
"soccer",
"hockey",
"golf",
"fish",
"gum",
"liquid",
"series",
"sheep",
"species",
"fahrenheit",
"celcius",
"kelvin",
"hertz"
]
},{}],12:[function(require,module,exports){
//terms that are "CD", a 'value' term
module.exports = [
//numbers
'zero',
'one',
'two',
'three',
'four',
'five',
'six',
'seven',
'eight',
'nine',
'ten',
'eleven',
'twelve',
'thirteen',
'fourteen',
'fifteen',
'sixteen',
'seventeen',
'eighteen',
'nineteen',
'twenty',
'thirty',
'forty',
'fifty',
'sixty',
'seventy',
'eighty',
'ninety',
'hundred',
'thousand',
'million',
'billion',
'trillion',
'quadrillion',
'quintillion',
'sextillion',
'septillion',
'octillion',
'nonillion',
'decillion',
//months
"january",
"february",
// "march",
"april",
// "may",
"june",
"july",
"august",
"september",
"october",
"november",
"december",
"jan", "feb", "mar", "apr", "jun", "jul", "aug", "sep", "oct", "nov", "dec", "sept", "sep",
//days
"monday",
"tuesday",
"wednesday",
"thursday",
"friday",
"saturday",
"sunday"
].reduce(function (h, s) {
h[s] = "CD"
return h
}, {})
},{}],13:[function(require,module,exports){
//most-frequent non-irregular verbs, to be conjugated for the lexicon
//this list is the seed, from which various forms are conjugated
module.exports = [
"collapse",
"stake",
"forsee",
"suck",
"answer",
"argue",
"tend",
"examine",
"depend",
"form",
"figure",
"mind",
"surround",
"suspect",
"reflect",
"wonder",
"hope",
"end",
"thank",
"file",
"regard",
"report",
"imagine",
"consider",
"ensure",
"cause",
"work",
"enter",
"stop",
"defeat",
"surge",
"launch",
"turn",
"like",
"control",
"relate",
"remember",
"join",
"listen",
"train",
"spring",
"enjoy",
"fail",
"recognize",
"obtain",
"learn",
"fill",
"announce",
"prevent",
"achieve",
"realize",
"involve",
"remove",
"aid",
"visit",
"test",
"prepare",
"ask",
"carry",
"suppose",
"determine",
"raise",
"love",
"use",
"pull",
"improve",
"contain",
"offer",
"talk",
"pick",
"care",
"express",
"remain",
"operate",
"close",
"add",
"mention",
"support",
"decide",
"walk",
"vary",
"demand",
"describe",
"agree",
"happen",
"allow",
"suffer",
"study",
"press",
"watch",
"seem",
"occur",
"contribute",
"claim",
"compare",
"apply",
"direct",
"discuss",
"indicate",
"require",
"change",
"fix",
"reach",
"prove",
"expect",
"exist",
"play",
"permit",
"kill",
"charge",
"increase",
"believe",
"create",
"continue",
"live",
"help",
"represent",
"edit",
"serve",
"appear",
"cover",
"maintain",
"start",
"stay",
"move",
"extend",
"design",
"supply",
"suggest",
"want",
"approach",
"call",
"include",
"try",
"receive",
"save",
"discover",
"marry",
"need",
"establish",
"keep",
"assume",
"attend",
"unite",
"explain",
"publish",
"accept",
"settle",
"reduce",
"do",
"look",
"interact",
"concern",
"labor",
"return",
"select",
"die",
"provide",
"seek",
"wish",
"finish",
"follow",
"disagree",
"produce",
"attack",
"attempt",
"brake",
"brush",
"burn",
"bang",
"bomb",
"budget",
"comfort",
"cook",
"copy",
"cough",
"crush",
"cry",
"check",
"claw",
"clip",
"combine",
"damage",
"desire",
"doubt",
"drain",
"dance",
"decrease",
"defect",
"deposit",
"drift",
"dip",
"dive",
"divorce",
"dream",
"exchange",
"envy",
"exert",
"exercise",
"export",
"fold",
"flood",
"focus",
"forecast",
"fracture",
"grip",
"guide",
"guard",
"guarantee",
"guess",
"hate",
"heat",
"handle",
"hire",
"host",
"hunt",
"hurry",
"import",
"judge",
"jump",
"jam",
"kick",
"kiss",
"knock",
"laugh",
"lift",
"lock",
"lecture",
"link",
"load",
"loan",
"lump",
"melt",
"message",
"murder",
"neglect",
"overlap",
"overtake",
"overuse",
"print",
"protest",
"pump",
"push",
"post",
"progress",
"promise",
"purchase",
"regret",
"request",
"reward",
"roll",
"rub",
"rent",
"repair",
"sail",
"scale",
"screw",
"shock",
"sleep",
"slip",
"smash",
"smell",
"smoke",
"sneeze",
"snow",
"surprise",
"scratch",
"search",
"share",
"shave",
"spit",
"splash",
"stain",
"stress",
"switch",
"taste",
"touch",
"trade",
"trick",
"twist",
"trap",
"travel",
"tune",
"undergo",
"undo",
"uplift",
"vote",
"wash",
"wave",
"whistle",
"wreck",
"yawn",
"betray",
"restrict",
"perform",
"worry",
"point",
"activate",
"fear",
"plan",
"note",
"face",
"predict",
"differ",
"deserve",
"torture",
"recall",
"count",
"admit",
"insist",
"lack",
"pass",
"belong",
"complain",
"constitute",
"rely",
"refuse",
"range",
"cite",
"flash",
"arrive",
"reveal",
"consist",
"observe",
"notice",
"trust",
"display",
"view",
"stare",
"acknowledge",
"owe",
"gaze",
"treat",
"account",
"gather",
"address",
"confirm",
"estimate",
"manage",
"participate",
"sneak",
"drop",
"mirror",
"experience",
"strive",
"arch",
"dislike",
"favor",
"earn",
"emphasize",
"match",
"question",
"emerge",
"encourage",
"matter",
"name",
"head",
"line",
"slam",
"list",
"warn",
"ignore",
"resemble",
"feature",
"place",
"reverse",
"accuse",
"spoil",
"retain",
"survive",
"praise",
"function",
"please",
"date",
"remind",
"deliver",
"echo",
"engage",
"deny",
"yield",
"center",
"gain",
"anticipate",
"reason",
"side",
"thrive",
"defy",
"dodge",
"enable",
"applaud",
"bear",
"persist",
"pose",
"reject",
"attract",
"await",
"inhibit",
"declare",
"process",
"risk",
"urge",
"value",
"block",
"confront",
"credit",
"cross",
"amuse",
"dare",
"resent",
"smile",
"gloss",
"threaten",
"collect",
"depict",
"dismiss",
"submit",
"benefit",
"step",
"deem",
"limit",
"sense",
"issue",
"embody",
"force",
"govern",
"replace",
"bother",
"cater",
"adopt",
"empower",
"outweigh",
"alter",
"enrich",
"influence",
"prohibit",
"pursue",
"warrant",
"convey",
"approve",
"reserve",
"rest",
"strain",
"wander",
"adjust",
"dress",
"market",
"mingle",
"disapprove",
"evaluate",
"flow",
"inhabit",
"pop",
"rule",
"depart",
"roam",
"assert",
"disappear",
"envision",
"pause",
"afford",
"challenge",
"grab",
"grumble",
"house",
"portray",
"revel",
"base",
"conduct",
"review",
"stem",
"crave",
"mark",
"store",
"target",
"unlock",
"weigh",
"resist",
"drag",
"pour",
"reckon",
"assign",
"cling",
"rank",
"attach",
"decline",
"destroy",
"interfere",
"paint",
"skip",
"sprinkle",
"wither",
"allege",
"retire",
"score",
"monitor",
"expand",
"honor",
"pack",
"assist",
"float",
"appeal",
"stretch",
"undermine",
"assemble",
"boast",
"bounce",
"grasp",
"install",
"borrow",
"crack",
"elect",
"shout",
"contrast",
"overcome",
"relax",
"relent",
"strengthen",
"conform",
"dump",
"pile",
"scare",
"relive",
"resort",
"rush",
"boost",
"cease",
"command",
"excel",
"plug",
"plunge",
"proclaim",
"discourage",
"endure",
"ruin",
"stumble",
"abandon",
"cheat",
"convince",
"merge",
"convert",
"harm",
"multiply",
"overwhelm",
"chew",
"invent",
"bury",
"wipe",
"added",
"took",
"define",
"goes",
"measure",
"enhance",
"distinguish",
"avoid",
//contractions
"don't",
"won't",
"what's" //somewhat ambiguous (what does|what are)
]
},{}],14:[function(require,module,exports){
//the parts of speech used by this library. mostly standard, but some changes.
module.exports = {
//verbs
"VB": {
"name": "verb, generic",
"parent": "verb",
"tag": "VB"
},
"VBD": {
"name": "past-tense verb",
"parent": "verb",
"tense": "past",
"tag": "VBD"
},
"VBN": {
"name": "past-participle verb",
"parent": "verb",
"tense": "past",
"tag": "VBN"
},
"VBP": {
"name": "infinitive verb",
"parent": "verb",
"tense": "present",
"tag": "VBP"
},
"VBF": {
"name": "future-tense verb",
"parent": "verb",
"tense": "future",
"tag": "VBF"
},
"VBZ": {
"name": "present-tense verb",
"tense": "present",
"parent": "verb",
"tag": "VBZ"
},
"CP": {
"name": "copula",
"parent": "verb",
"tag": "CP"
},
"VBG": {
"name": "gerund verb",
"parent": "verb",
"tag": "VBG"
},
//adjectives
"JJ": {
"name": "adjective, generic",
"parent": "adjective",
"tag": "JJ"
},
"JJR": {
"name": "comparative adjective",
"parent": "adjective",
"tag": "JJR"
},
"JJS": {
"name": "superlative adjective",
"parent": "adjective",
"tag": "JJS"
},
//adverbs
"RB": {
"name": "adverb",
"parent": "adverb",
"tag": "RB"
},
"RBR": {
"name": "comparative adverb",
"parent": "adverb",
"tag": "RBR"
},
"RBS": {
"name": "superlative adverb",
"parent": "adverb",
"tag": "RBS"
},
//nouns
"NN": {
"name": "noun, generic",
"parent": "noun",
"tag": "NN"
},
"NNP": {
"name": "singular proper noun",
"parent": "noun",
"tag": "NNP"
},
"NNA": {
"name": "noun, active",
"parent": "noun",
"tag": "NNA"
},
"NNPA": {
"name": "noun, acronym",
"parent": "noun",
"tag": "NNPA"
},
"NNPS": {
"name": "plural proper noun",
"parent": "noun",
"tag": "NNPS"
},
"NNAB": {
"name": "noun, abbreviation",
"parent": "noun",
"tag": "NNAB"
},
"NNS": {
"name": "plural noun",
"parent": "noun",
"tag": "NNS"
},
"NNO": {
"name": "possessive noun",
"parent": "noun",
"tag": "NNO"
},
"NNG": {
"name": "gerund noun",
"parent": "noun",
"tag": "VBG"
},
"PP": {
"name": "possessive pronoun",
"parent": "noun",
"tag": "PP"
},
//glue
"FW": {
"name": "foreign word",
"parent": "glue",
"tag": "FW"
},
"CD": {
"name": "cardinal value, generic",
"parent": "value",
"tag": "CD"
},
"DA": {
"name": "date",
"parent": "value",
"tag": "DA"
},
"NU": {
"name": "number",
"parent": "value",
"tag": "NU"
},
"IN": {
"name": "preposition",
"parent": "glue",
"tag": "IN"
},
"MD": {
"name": "modal verb",
"parent": "verb", //dunno
"tag": "MD"
},
"CC": {
"name": "co-ordating conjunction",
"parent": "glue",
"tag": "CC"
},
"PRP": {
"name": "personal pronoun",
"parent": "noun",
"tag": "PRP"
},
"DT": {
"name": "determiner",
"parent": "glue",
"tag": "DT"
},
"UH": {
"name": "interjection",
"parent": "glue",
"tag": "UH"
},
"EX": {
"name": "existential there",
"parent": "glue",
"tag": "EX"
}
}
},{}],15:[function(require,module,exports){
// word suffixes with a high pos signal, generated with wordnet
//by spencer kelly spencermountain@gmail.com 2014
var data = {
"NN": [
"ceae",
"inae",
"idae",
"leaf",
"rgan",
"eman",
"sman",
"star",
"boat",
"tube",
"rica",
"tica",
"nica",
"auce",
"tics",
"ency",
"ancy",
"poda",
"tude",
"xide",
"body",
"weed",
"tree",
"rrel",
"stem",
"cher",
"icer",
"erer",
"ader",
"ncer",
"izer",
"ayer",
"nner",
"ates",
"ales",
"ides",
"rmes",
"etes",
"llet",
"uage",
"ings",
"aphy",
"chid",
"tein",
"vein",
"hair",
"tris",
"unit",
"cake",
"nake",
"illa",
"ella",
"icle",
"ille",
"etle",
"scle",
"cell",
"bell",
"bill",
"palm",
"toma",
"game",
"lamp",
"bone",
"mann",
"ment",
"wood",
"book",
"nson",
"agon",
"odon",
"dron",
"iron",
"tion",
"itor",
"ator",
"root",
"cope",
"tera",
"hora",
"lora",
"bird",
"worm",
"fern",
"horn",
"wort",
"ourt",
"stry",
"etry",
"bush",
"ness",
"gist",
"rata",
"lata",
"tata",
"moth",
"lity",
"nity",
"sity",
"rity",
"city",
"dity",
"vity",
"drug",
"dium",
"llum",
"trum",
"inum",
"lium",
"tium",
"atum",
"rium",
"icum",
"anum",
"nium",
"orum",
"icus",
"opus",
"chus",
"ngus",
"thus",
"rius",
"rpus"
],
"JJ": [
"liac",
"siac",
"clad",
"deaf",
"xial",
"hial",
"chal",
"rpal",
"asal",
"rial",
"teal",
"oeal",
"vial",
"phal",
"sial",
"heal",
"rbal",
"neal",
"geal",
"dial",
"eval",
"bial",
"ugal",
"kian",
"izan",
"rtan",
"odan",
"llan",
"zian",
"eian",
"eyan",
"ndan",
"eban",
"near",
"unar",
"lear",
"liar",
"-day",
"-way",
"tech",
"sick",
"tuck",
"inct",
"unct",
"wide",
"endo",
"uddy",
"eedy",
"uted",
"aled",
"rred",
"oned",
"rted",
"obed",
"oped",
"ched",
"dded",
"cted",
"tied",
"eked",
"ayed",
"rked",
"teed",
"mmed",
"tred",
"awed",
"rbed",
"bbed",
"axed",
"bred",
"pied",
"cked",
"rced",
"ened",
"fied",
"lved",
"mned",
"kled",
"hted",
"lied",
"eted",
"rded",
"lued",
"rved",
"azed",
"oked",
"ghed",
"sked",
"emed",
"aded",
"ived",
"mbed",
"pted",
"zled",
"ored",
"pled",
"wned",
"afed",
"nied",
"aked",
"gued",
"oded",
"oved",
"oled",
"ymed",
"lled",
"bled",
"cled",
"eded",
"toed",
"ited",
"oyed",
"eyed",
"ured",
"omed",
"ixed",
"pped",
"ined",
"lted",
"iced",
"exed",
"nded",
"amed",
"owed",
"dged",
"nted",
"eged",
"nned",
"used",
"ibed",
"nced",
"umed",
"dled",
"died",
"rged",
"aped",
"oted",
"uled",
"ided",
"nked",
"aved",
"rled",
"rned",
"aned",
"rmed",
"lmed",
"aged",
"ized",
"eved",
"ofed",
"thed",
"ered",
"ared",
"ated",
"eled",
"sted",
"ewed",
"nsed",
"nged",
"lded",
"gged",
"osed",
"fled",
"shed",
"aced",
"ffed",
"tted",
"uced",
"iled",
"uded",
"ired",
"yzed",
"-fed",
"mped",
"iked",
"fted",
"imed",
"hree",
"llel",
"aten",
"lden",
"nken",
"apen",
"ozen",
"ober",
"-set",
"nvex",
"osey",
"laid",
"paid",
"xvii",
"xxii",
"-air",
"tair",
"icit",
"knit",
"nlit",
"xxiv",
"-six",
"-old",
"held",
"cile",
"ible",
"able",
"gile",
"full",
"-ply",
"bbly",
"ggly",
"zzly",
"-one",
"mane",
"mune",
"rung",
"uing",
"mant",
"yant",
"uant",
"pant",
"urnt",
"awny",
"eeny",
"ainy",
"orny",
"siny",
"tood",
"shod",
"-toe",
"d-on",
"-top",
"-for",
"odox",
"wept",
"eepy",
"oopy",
"hird",
"dern",
"worn",
"mart",
"ltry",
"oury",
"ngry",
"arse",
"bose",
"cose",
"mose",
"iose",
"gish",
"kish",
"pish",
"wish",
"vish",
"yish",
"owsy",
"ensy",
"easy",
"ifth",
"edth",
"urth",
"ixth",
"00th",
"ghth",
"ilty",
"orty",
"ifty",
"inty",
"ghty",
"kety",
"afty",
"irty",
"roud",
"true",
"wful",
"dful",
"rful",
"mful",
"gful",
"lful",
"hful",
"kful",
"iful",
"yful",
"sful",
"tive",
"cave",
"sive",
"five",
"cive",
"xxvi",
"urvy",
"nown",
"hewn",
"lown",
"-two",
"lowy",
"ctyl"
],
"VB": [
"wrap",
"hear",
"draw",
"rlay",
"away",
"elay",
"duce",
"esce",
"elch",
"ooch",
"pick",
"huck",
"back",
"hack",
"ruct",
"lict",
"nect",
"vict",
"eact",
"tect",
"vade",
"lude",
"vide",
"rude",
"cede",
"ceed",
"ivel",
"hten",
"rken",
"shen",
"open",
"quer",
"over",
"efer",
"eset",
"uiet",
"pret",
"ulge",
"lign",
"pugn",
"othe",
"rbid",
"raid",
"veil",
"vail",
"roil",
"join",
"dain",
"feit",
"mmit",
"erit",
"voke",
"make",
"weld",
"uild",
"idle",
"rgle",
"otle",
"rble",
"self",
"fill",
"till",
"eels",
"sult",
"pply",
"sume",
"dime",
"lame",
"lump",
"rump",
"vene",
"cook",
"look",
"from",
"elop",
"grow",
"adow",
"ploy",
"sorb",
"pare",
"uire",
"jure",
"lore",
"surf",
"narl",
"earn",
"ourn",
"hirr",
"tort",
"-fry",
"uise",
"lyse",
"sise",
"hise",
"tise",
"nise",
"lise",
"rise",
"anse",
"gise",
"owse",
"oosh",
"resh",
"cuss",
"uess",
"sess",
"vest",
"inst",
"gest",
"fest",
"xist",
"into",
"ccur",
"ieve",
"eive",
"olve",
"down",
"-dye",
"laze",
"lyze",
"raze",
"ooze"
],
"RB": [
"that",
"oubt",
"much",
"diem",
"high",
"atim",
"sely",
"nely",
"ibly",
"lely",
"dely",
"ally",
"gely",
"imly",
"tely",
"ully",
"ably",
"owly",
"vely",
"cely",
"mely",
"mply",
"ngly",
"exly",
"ffly",
"rmly",
"rely",
"uely",
"time",
"iori",
"oors",
"wise",
"orst",
"east",
"ways"
]
}
//convert it to an easier format
module.exports = Object.keys(data).reduce(function (h, k) {
data[k].forEach(function (w) {
h[w] = k
})
return h
}, {})
},{}],16:[function(require,module,exports){
//regex patterns and parts of speech],
module.exports= [
[".[cts]hy$", "JJ"],
[".[st]ty$", "JJ"],
[".[lnr]ize$", "VB"],
[".[gk]y$", "JJ"],
[".fies$", "VB"],
[".some$", "JJ"],
[".[nrtumcd]al$", "JJ"],
[".que$", "JJ"],
[".[tnl]ary$", "JJ"],
[".[di]est$", "JJS"],
["^(un|de|re)\\-[a-z]..", "VB"],
[".lar$", "JJ"],
["[bszmp]{2}y", "JJ"],
[".zes$", "VB"],
[".[icldtgrv]ent$", "JJ"],
[".[rln]ates$", "VBZ"],
[".[oe]ry$", "JJ"],
["[rdntkdhs]ly$", "RB"],
[".[lsrnpb]ian$", "JJ"],
[".[^aeiou]ial$", "JJ"],
[".[^aeiou]eal$", "JJ"],
[".[vrl]id$", "JJ"],
[".[ilk]er$", "JJR"],
[".ike$", "JJ"],
[".ends$", "VB"],
[".wards$", "RB"],
[".rmy$", "JJ"],
[".rol$", "NN"],
[".tors$", "NN"],
[".azy$", "JJ"],
[".where$", "RB"],
[".ify$", "VB"],
[".bound$", "JJ"],
[".ens$", "VB"],
[".oid$", "JJ"],
[".vice$", "NN"],
[".rough$", "JJ"],
[".mum$", "JJ"],
[".teen(th)?$", "CD"],
[".oses$", "VB"],
[".ishes$", "VB"],
[".ects$", "VB"],
[".tieth$", "CD"],
[".ices$", "NN"],
[".bles$", "VB"],
[".pose$", "VB"],
[".ions$", "NN"],
[".ean$", "JJ"],
[".[ia]sed$", "JJ"],
[".tized$", "VB"],
[".llen$", "JJ"],
[".fore$", "RB"],
[".ances$", "NN"],
[".gate$", "VB"],
[".nes$", "VB"],
[".less$", "RB"],
[".ried$", "JJ"],
[".gone$", "JJ"],
[".made$", "JJ"],
[".[pdltrkvyns]ing$", "JJ"],
[".tions$", "NN"],
[".tures$", "NN"],
[".ous$", "JJ"],
[".ports$", "NN"],
[". so$", "RB"],
[".ints$", "NN"],
[".[gt]led$", "JJ"],
["[aeiou].*ist$", "JJ"],
[".lked$", "VB"],
[".fully$", "RB"],
[".*ould$", "MD"],
["^-?[0-9]+(.[0-9]+)?$", "CD"],
["[a-z]*\\-[a-z]*\\-", "JJ"],
["[a-z]'s$", "NNO"],
[".'n$", "VB"],
[".'re$", "CP"],
[".'ll$", "MD"],
[".'t$", "VB"],
[".tches$", "VB"],
["^https?\:?\/\/[a-z0-9]", "CD"],//the colon is removed in normalisation
["^www\.[a-z0-9]", "CD"],
[".ize$", "VB"],
[".[^aeiou]ise$", "VB"],
[".[aeiou]te$", "VB"],
[".ea$", "NN"],
["[aeiou][pns]er$", "NN"],
[".ia$", "NN"],
[".sis$", "NN"],
[".[aeiou]na$", "NN"],
[".[^aeiou]ity$", "NN"],
[".[^aeiou]ium$", "NN"],
[".[^aeiou][ei]al$", "JJ"],
[".ffy$", "JJ"],
[".[^aeiou]ic$", "JJ"],
[".(gg|bb|zz)ly$", "JJ"],
[".[aeiou]my$", "JJ"],
[".[aeiou]ble$", "JJ"],
[".[^aeiou]ful$", "JJ"],
[".[^aeiou]ish$", "JJ"],
[".[^aeiou]ica$", "NN"],
["[aeiou][^aeiou]is$", "NN"],
["[^aeiou]ard$", "NN"],
["[^aeiou]ism$", "NN"],
[".[^aeiou]ity$", "NN"],
[".[^aeiou]ium$", "NN"],
[".[lstrn]us$", "NN"],
["..ic$", "JJ"],
["[aeiou][^aeiou]id$", "JJ"],
[".[^aeiou]ish$", "JJ"],
[".[^aeiou]ive$", "JJ"],
["[ea]{2}zy$", "JJ"],
].map(function(a) {
return {
reg: new RegExp(a[0], "i"),
pos: a[1]
}
})
},{}],17:[function(require,module,exports){
// convert british spellings into american ones
// built with patterns+exceptions from https://en.wikipedia.org/wiki/British_spelling
module.exports = function (str) {
var patterns = [
// ise -> ize
{
reg: /([^aeiou][iy])s(e|ed|es|ing)?$/,
repl: '$1z$2'
},
// our -> or
{
reg: /(..)our(ly|y|ite)?$/,
repl: '$1or$2'
},
// re -> er
{
reg: /([^cdnv])re(s)?$/,
repl: '$1er$2'
},
// xion -> tion
{
reg: /([aeiou])xion([ed])?$/,
repl: '$1tion$2'
},
//logue -> log
{
reg: /logue$/,
repl: 'log'
},
// ae -> e
{
reg: /([o|a])e/,
repl: 'e'
},
//eing -> ing
{
reg: /e(ing|able)$/,
repl: '$1'
},
// illful -> ilful
{
reg: /([aeiou]+[^aeiou]+[aeiou]+)ll(ful|ment|est|ing|or|er|ed)$/, //must be second-syllable
repl: '$1l$2'
}
]
for (var i = 0; i < patterns.length; i++) {
if (str.match(patterns[i].reg)) {
return str.replace(patterns[i].reg, patterns[i].repl)
}
}
return str
}
// console.log(americanize("synthesise")=="synthesize")
// console.log(americanize("synthesised")=="synthesized")
},{}],18:[function(require,module,exports){
// convert american spellings into british ones
// built with patterns+exceptions from https://en.wikipedia.org/wiki/British_spelling
// (some patterns are only safe to do in one direction)
module.exports = function (str) {
var patterns = [
// ise -> ize
{
reg: /([^aeiou][iy])z(e|ed|es|ing)?$/,
repl: '$1s$2'
},
// our -> or
// {
// reg: /(..)our(ly|y|ite)?$/,
// repl: '$1or$2',
// exceptions: []
// },
// re -> er
// {
// reg: /([^cdnv])re(s)?$/,
// repl: '$1er$2',
// exceptions: []
// },
// xion -> tion
// {
// reg: /([aeiou])xion([ed])?$/,
// repl: '$1tion$2',
// exceptions: []
// },
//logue -> log
// {
// reg: /logue$/,
// repl: 'log',
// exceptions: []
// },
// ae -> e
// {
// reg: /([o|a])e/,
// repl: 'e',
// exceptions: []
// },
//eing -> ing
// {
// reg: /e(ing|able)$/,
// repl: '$1',
// exceptions: []
// },
// illful -> ilful
{
reg: /([aeiou]+[^aeiou]+[aeiou]+)l(ful|ment|est|ing|or|er|ed)$/, //must be second-syllable
repl: '$1ll$2',
exceptions: []
}
]
for (var i = 0; i < patterns.length; i++) {
if (str.match(patterns[i].reg)) {
return str.replace(patterns[i].reg, patterns[i].repl)
}
}
return str
}
},{}],19:[function(require,module,exports){
//chop a string into pronounced syllables
module.exports = function (str) {
var all = []
//suffix fixes
var postprocess = function (arr) {
//trim whitespace
arr = arr.map(function (w) {
w = w.replace(/^ */, '')
w = w.replace(/ *$/, '')
return w
})
if (arr.length > 2) {
return arr
}
var ones = [
/^[^aeiou]?ion/,
/^[^aeiou]?ised/,
/^[^aeiou]?iled/
]
var l = arr.length
if (l > 1) {
var suffix = arr[l - 2] + arr[l - 1];
for (var i = 0; i < ones.length; i++) {
if (suffix.match(ones[i])) {
arr[l - 2] = arr[l - 2] + arr[l - 1];
arr.pop();
}
}
}
return arr
}
var doer = function (str) {
var vow = /[aeiouy]$/
if (!str) {
return
}
var chars = str.split('')
var before = "";
var after = "";
var current = "";
for (var i = 0; i < chars.length; i++) {
before = chars.slice(0, i).join('')
current = chars[i]
after = chars.slice(i + 1, chars.length).join('')
var candidate = before + chars[i]
//rules for syllables-
//it's a consonant that comes after a vowel
if (before.match(vow) && !current.match(vow)) {
if (after.match(/^e[sm]/)) {
candidate += "e"
after = after.replace(/^e/, '')
}
all.push(candidate)
return doer(after)
}
//unblended vowels ('noisy' vowel combinations)
if (candidate.match(/(eo|eu|ia|oa|ua|ui)$/i)) { //'io' is noisy, not in 'ion'
all.push(before)
all.push(current)
return doer(after)
}
}
//if still running, end last syllable
if (str.match(/[aiouy]/) || str.match(/ee$/)) { //allow silent trailing e
all.push(str)
} else {
all[all.length - 1] = (all[all.length - 1] || '') + str; //append it to the last one
}
}
str.split(/\s\-/).forEach(function (s) {
doer(s)
})
all = postprocess(all)
//for words like 'tree' and 'free'
if (all.length === 0) {
all = [str]
}
return all
}
// console.log(syllables("suddenly").length === 3)
// console.log(syllables("tree"))
//broken
// console.log(syllables("birchtree"))
},{}],20:[function(require,module,exports){
//split a string into all possible parts
module.exports = function (text, options) {
options = options || {}
var min_count = options.min_count || 1; // minimum hit-count
var max_size = options.max_size || 5; // maximum gram count
var REallowedChars = /[^a-zA-Z'\-]+/g; //Invalid characters are replaced with a whitespace
var i, j, k, textlen, s;
var keys = [null];
var results = [];
//max_size++;
for (i = 1; i <= max_size; i++) {
keys.push({});
}
// clean the text
text = text.replace(REallowedChars, " ").replace(/^\s+/, "").replace(/\s+$/, "");
text = text.toLowerCase()
// Create a hash
text = text.split(/\s+/);
for (i = 0, textlen = text.length; i < textlen; i++) {
s = text[i];
keys[1][s] = (keys[1][s] || 0) + 1;
for (j = 2; j <= max_size; j++) {
if (i + j <= textlen) {
s += " " + text[i + j - 1];
keys[j][s] = (keys[j][s] || 0) + 1;
} else {
break
}
}
}
// map to array
i = undefined;
for (k = 1; k <= max_size; k++) {
results[k] = [];
var key = keys[k];
for (i in key) {
if (key.hasOwnProperty(i) && key[i] >= min_count) {
results[k].push({
"word": i,
"count": key[i],
"size": k
})
}
}
}
results = results.filter(function (s) {
return s !== null
})
results = results.map(function (r) {
r = r.sort(function (a, b) {
return b.count - a.count
})
return r;
});
return results
}
// s = ngram("i really think that we all really think it's all good")
// console.log(s)
},{}],21:[function(require,module,exports){
//(Rule-based sentence boundary segmentation) - chop given text into its proper sentences.
// Ignore periods/questions/exclamations used in acronyms/abbreviations/numbers, etc.
// @spencermountain 2015 MIT
module.exports = function(text) {
var abbreviations = require("../../data/lexicon/abbreviations")
var sentences = [];
//first do a greedy-split..
var chunks = text.split(/(\S.+?[.\?!])(?=\s+|$|")/g);
//date abbrevs.
//these are added seperately because they are not nouns
abbreviations = abbreviations.concat(["jan", "feb", "mar", "apr", "jun", "jul", "aug", "sep", "oct", "nov", "dec", "sept", "sep"]);
//detection of non-sentence chunks
var abbrev_reg = new RegExp("\\b(" + abbreviations.join("|") + ")[.!?] ?$", "i");
var acronym_reg= new RegExp("[ |\.][A-Z]\.?$", "i")
var elipses_reg= new RegExp("\\.\\.\\.*$")
//loop through these chunks, and join the non-sentence chunks back together..
var chunks_length = chunks.length;
for (i = 0; i < chunks_length; i++) {
if (chunks[i]) {
//trim whitespace
chunks[i] = chunks[i].replace(/^\s+|\s+$/g, "");
//should this chunk be combined with the next one?
if (chunks[i+1] && chunks[i].match(abbrev_reg) || chunks[i].match(acronym_reg) || chunks[i].match(elipses_reg) ) {
chunks[i + 1] = ((chunks[i]||'') + " " + (chunks[i + 1]||'')).replace(/ +/g, " ");
} else if(chunks[i] && chunks[i].length>0){ //this chunk is a proper sentence..
sentences.push(chunks[i]);
chunks[i] = "";
}
}
}
//if we never got a sentence, return the given text
if (sentences.length === 0) {
return [text]
}
return sentences;
}
// console.log(sentence_parser('Tony is nice. He lives in Japan.').length === 2)
// console.log(sentence_parser('I like that Color').length === 1)
// console.log(sentence_parser("She was dead. He was ill.").length === 2)
// console.log(sentence_parser("i think it is good ... or else.").length == 1)
},{"../../data/lexicon/abbreviations":3}],22:[function(require,module,exports){
//split a string into 'words' - as intended to be most helpful for this library.
var sentence_parser = require("./sentence")
var multiples = require("../../data/lexicon/multiples")
//these expressions ought to be one token, not two, because they are a distinct POS together
var multi_words = Object.keys(multiples).map(function (m) {
return m.split(' ')
})
var normalise = function (str) {
if (!str) {
return ""
}
str = str.toLowerCase()
str = str.replace(/[,\.!:;\?\(\)]/, '')
str = str.replace(/’/g, "'")
str = str.replace(/"/g, "")
if (!str.match(/[a-z0-9]/i)) {
return ''
}
return str
}
var sentence_type = function (sentence) {
if (sentence.match(/\?$/)) {
return "interrogative";
} else if (sentence.match(/\!$/)) {
return "exclamative";
} else {
return "declarative";
}
}
//some multi-word tokens should be combined here
var combine_multiples = function (arr) {
var better = []
var normalised = arr.map(function (a) {
return normalise(a)
}) //cached results
for (var i = 0; i < arr.length; i++) {
for (var o = 0; o < multi_words.length; o++) {
if (arr[i + 1] && normalised[i] === multi_words[o][0] && normalised[i + 1] === multi_words[o][1]) { //
//we have a match
arr[i] = arr[i] + ' ' + arr[i + 1]
arr[i + 1] = null
break
}
}
better.push(arr[i])
}
return better.filter(function (w) {
return w
})
}
var tokenize = function (str) {
var sentences = sentence_parser(str)
return sentences.map(function (sentence) {
var arr = sentence.split(' ');
arr = combine_multiples(arr)
var tokens = arr.map(function (w, i) {
return {
text: w,
normalised: normalise(w),
title_case: (w.match(/^[A-Z][a-z]/) !== null), //use for merge-tokens
noun_capital: i > 0 && (w.match(/^[A-Z][a-z]/) !== null), //use for noun signal
punctuated: (w.match(/[,;:\(\)"]/) !== null) || undefined,
end: (i === (arr.length - 1)) || undefined,
start: (i === 0) || undefined
}
})
return {
sentence: sentence,
tokens: tokens,
type: sentence_type(sentence)
}
})
}
module.exports = tokenize
// console.log(tokenize("i live in new york")[0].tokens.length==4)
// console.log(tokenize("I speak optimistically of course.")[0].tokens.length==4)
// console.log(tokenize("Joe is 9")[0].tokens.length==3)
// console.log(tokenize("Joe in Toronto")[0].tokens.length==3)
// console.log(tokenize("I am mega-rich")[0].tokens.length==3)
},{"../../data/lexicon/multiples":9,"./sentence":21}],23:[function(require,module,exports){
// a hugely-ignorant, and widely subjective transliteration of latin, cryllic, greek unicode characters to english ascii.
//http://en.wikipedia.org/wiki/List_of_Unicode_characters
//https://docs.google.com/spreadsheet/ccc?key=0Ah46z755j7cVdFRDM1A2YVpwa1ZYWlpJM2pQZ003M0E
//approximate visual (not semantic) relationship between unicode and ascii characters
var compact = {
"2": "²ƻ",
"3": "³ƷƸƹƺǮǯЗҘҙӞӟӠӡȜȝ",
"5": "Ƽƽ",
"8": "Ȣȣ",
"!": "¡",
"?": "¿Ɂɂ",
"a": "ªÀÁÂÃÄÅàáâãäåĀāĂ㥹ǍǎǞǟǠǡǺǻȀȁȂȃȦȧȺΆΑΔΛάαλАДадѦѧӐӑӒӓƛɅ",
"b": "ßþƀƁƂƃƄƅɃΒβϐϦБВЪЬбвъьѢѣҌҍҔҕƥƾ",
"c": "¢©ÇçĆćĈĉĊċČčƆƇƈȻȼͻͼͽϲϹϽϾϿЄСсєҀҁҪҫ",
"d": "ÐĎďĐđƉƊȡƋƌǷ",
"e": "ÈÉÊËèéêëĒēĔĕĖėĘęĚěƎƏƐǝȄȅȆȇȨȩɆɇΈΕΞΣέεξϱϵ϶ЀЁЕЭеѐёҼҽҾҿӖӗӘәӚӛӬӭ",
"f": "ƑƒϜϝӺӻ",
"g": "ĜĝĞğĠġĢģƓǤǥǦǧǴǵ",
"h": "ĤĥĦħƕǶȞȟΉΗЂЊЋНнђћҢңҤҥҺһӉӊ",
"I": "ÌÍÎÏ",
"i": "ìíîïĨĩĪīĬĭĮįİıƖƗȈȉȊȋΊΐΪίιϊІЇії",
"j": "ĴĵǰȷɈɉϳЈј",
"k": "ĶķĸƘƙǨǩΚκЌЖКжкќҚқҜҝҞҟҠҡ",
"l": "ĹĺĻļĽľĿŀŁłƚƪǀǏǐȴȽΙӀӏ",
"m": "ΜϺϻМмӍӎ",
"n": "ÑñŃńŅņŇňʼnŊŋƝƞǸǹȠȵΝΠήηϞЍИЙЛПийлпѝҊҋӅӆӢӣӤӥπ",
"o": "ÒÓÔÕÖØðòóôõöøŌōŎŏŐőƟƠơǑǒǪǫǬǭǾǿȌȍȎȏȪȫȬȭȮȯȰȱΌΘΟΦΩδθοσόϕϘϙϬϭϴОФоѲѳѺѻѼѽӦӧӨөӪӫ¤ƍΏ",
"p": "ƤƿΡρϷϸϼРрҎҏÞ",
"q": "Ɋɋ",
"r": "ŔŕŖŗŘřƦȐȑȒȓɌɍЃГЯгяѓҐґҒғӶӷſ",
"s": "ŚśŜŝŞşŠšƧƨȘșȿςϚϛϟϨϩЅѕ",
"t": "ŢţŤťŦŧƫƬƭƮȚțȶȾΓΤτϮϯТт҂Ҭҭ",
"u": "µÙÚÛÜùúûüŨũŪūŬŭŮůŰűŲųƯưƱƲǓǔǕǖǗǘǙǚǛǜȔȕȖȗɄΰμυϋύϑЏЦЧцџҴҵҶҷҸҹӋӌӇӈ",
"v": "ƔνѴѵѶѷ",
"w": "ŴŵƜωώϖϢϣШЩшщѡѿ",
"x": "×ΧχϗϰХхҲҳӼӽӾӿ",
"y": "¥ÝýÿŶŷŸƳƴȲȳɎɏΎΥΨΫγψϒϓϔЎУучўѰѱҮүҰұӮӯӰӱӲӳ",
"z": "ŹźŻżŽžƩƵƶȤȥɀΖζ"
}
//decompress data into an array
var data = []
Object.keys(compact).forEach(function (k) {
compact[k].split('').forEach(function (s) {
data.push([s, k])
})
})
//convert array to two hashes
var normaler = {}
var greek = {}
data.forEach(function (arr) {
normaler[arr[0]] = arr[1]
greek[arr[1]] = arr[0]
})
var normalize = function (str, options) {
options = options || {}
options.percentage = options.percentage || 50
var arr = str.split('').map(function (s) {
var r = Math.random() * 100
if (normaler[s] && r < options.percentage) {
return normaler[s] || s
} else {
return s
}
})
return arr.join('')
}
var denormalize = function (str, options) {
options = options || {}
options.percentage = options.percentage || 50
var arr = str.split('').map(function (s) {
var r = Math.random() * 100
if (greek[s] && r < options.percentage) {
return greek[s] || s
} else {
return s
}
})
return arr.join('')
}
module.exports = {
normalize: normalize,
denormalize: denormalize
}
// s = "ӳžŽżźŹźӳžŽżźŹźӳžŽżźŹźӳžŽżźŹźӳžŽżźŹź"
// s = "Björk"
// console.log(normalize.normalize(s, {
// percentage: 100
// }))
// s = "The quick brown fox jumps over the lazy dog"
// console.log(normalize.denormalize(s, {
// percentage: 100
// }))
},{}],24:[function(require,module,exports){
//these are adjectives that can become comparative + superlative with out "most/more"
//its a whitelist for conjugation
//this data is shared between comparative/superlative methods
module.exports= [
"absurd",
"aggressive",
"alert",
"alive",
"awesome",
"beautiful",
"big",
"bitter",
"black",
"blue",
"bored",
"boring",
"brash",
"brave",
"brief",
"bright",
"broad",
"brown",
"calm",
"charming",
"cheap",
"clean",
"cold",
"cool",
"cruel",
"cute",
"damp",
"deep",
"dear",
"dead",
"dark",
"dirty",
"drunk",
"dull",
"eager",
"efficient",
"even",
"faint",
"fair",
"fanc",
"fast",
"fat",
"feeble",
"few",
"fierce",
"fine",
"flat",
"forgetful",
"frail",
"full",
"gentle",
"glib",
"great",
"green",
"gruesome",
"handsome",
"hard",
"harsh",
"high",
"hollow",
"hot",
"impolite",
"innocent",
"keen",
"kind",
"lame",
"lean",
"light",
"little",
"loose",
"long",
"loud",
"low",
"lush",
"macho",
"mean",
"meek",
"mellow",
"mundane",
"near",
"neat",
"new",
"nice",
"normal",
"odd",
"old",
"pale",
"pink",
"plain",
"poor",
"proud",
"purple",
"quick",
"rare",
"rapid",
"red",
"rich",
"ripe",
"rotten",
"round",
"rude",
"sad",
"safe",
"scarce",
"scared",
"shallow",
"sharp",
"short",
"shrill",
"simple",
"slim",
"slow",
"small",
"smart",
"smooth",
"soft",
"sore",
"sour",
"square",
"stale",
"steep",
"stiff",
"straight",
"strange",
"strong",
"sweet",
"swift",
"tall",
"tame",
"tart",
"tender",
"tense",
"thick",
"thin",
"tight",
"tough",
"vague",
"vast",
"vulgar",
"warm",
"weak",
"wet",
"white",
"wide",
"wild",
"wise",
"young",
"yellow",
"easy",
"narrow",
"late",
"early",
"soon",
"close",
"empty",
"dry",
"windy",
"noisy",
"thirsty",
"hungry",
"fresh",
"quiet",
"clear",
"heavy",
"happy",
"funny",
"lucky",
"pretty",
"important",
"interesting",
"attractive",
"dangerous",
"intellegent",
"pure",
"orange",
"large",
"firm",
"grand",
"formal",
"raw",
"weird",
"glad",
"mad",
"strict",
"tired",
"solid",
"extreme",
"mature",
"true",
"free",
"curly",
"angry"
].reduce(function(h,s){
h[s]=true
return h
},{})
},{}],25:[function(require,module,exports){
//turn 'quick' into 'quickly'
var main = function (str) {
var irregulars = {
"idle": "idly",
"public": "publicly",
"vague": "vaguely",
"day": "daily",
"icy": "icily",
"single": "singly",
"female": "womanly",
"male": "manly",
"simple": "simply",
"whole": "wholly",
"special": "especially",
"straight": "straight",
"wrong": "wrong",
"fast": "fast",
"hard": "hard",
"late": "late",
"early": "early",
"well": "well",
"best": "best",
"latter": "latter",
"bad": "badly"
}
var dont = {
"foreign": 1,
"black": 1,
"modern": 1,
"next": 1,
"difficult": 1,
"degenerate": 1,
"young": 1,
"awake": 1,
"back": 1,
"blue": 1,
"brown": 1,
"orange": 1,
"complex": 1,
"cool": 1,
"dirty": 1,
"done": 1,
"empty": 1,
"fat": 1,
"fertile": 1,
"frozen": 1,
"gold": 1,
"grey": 1,
"gray": 1,
"green": 1,
"medium": 1,
"parallel": 1,
"outdoor": 1,
"unknown": 1,
"undersized": 1,
"used": 1,
"welcome": 1,
"yellow": 1,
"white": 1,
"fixed": 1,
"mixed": 1,
"super": 1,
"guilty": 1,
"tiny": 1,
"able": 1,
"unable": 1,
"same": 1,
"adult": 1
}
var transforms = [{
reg: /al$/i,
repl: 'ally'
}, {
reg: /ly$/i,
repl: 'ly'
}, {
reg: /(.{3})y$/i,
repl: '$1ily'
}, {
reg: /que$/i,
repl: 'quely'
}, {
reg: /ue$/i,
repl: 'uly'
}, {
reg: /ic$/i,
repl: 'ically'
}, {
reg: /ble$/i,
repl: 'bly'
}, {
reg: /l$/i,
repl: 'ly'
}]
var not_matches = [
/airs$/,
/ll$/,
/ee.$/,
/ile$/
]
if (dont[str]) {
return null
}
if (irregulars[str]) {
return irregulars[str]
}
if (str.length <= 3) {
return null
}
var i;
for (i = 0; i < not_matches.length; i++) {
if (str.match(not_matches[i])) {
return null
}
}
for (i = 0; i < transforms.length; i++) {
if (str.match(transforms[i].reg)) {
return str.replace(transforms[i].reg, transforms[i].repl)
}
}
return str + 'ly'
}
module.exports = main;
// console.log(adj_to_adv('direct'))
},{}],26:[function(require,module,exports){
//turn 'quick' into 'quickly'
var convertables = require("./convertables")
var main = function (str) {
var irregulars = {
"grey": "greyer",
"gray": "grayer",
"green": "greener",
"yellow": "yellower",
"red": "redder",
"good": "better",
"well": "better",
"bad": "worse",
"sad": "sadder"
}
var dont = {
"overweight": 1,
"main": 1,
"nearby": 1,
"asleep": 1,
"weekly": 1,
"secret": 1,
"certain": 1
}
var transforms = [{
reg: /y$/i,
repl: 'ier'
}, {
reg: /([aeiou])t$/i,
repl: '$1tter'
}, {
reg: /([aeou])de$/i,
repl: '$1der'
}, {
reg: /nge$/i,
repl: 'nger'
}]
var matches = [
/ght$/,
/nge$/,
/ough$/,
/ain$/,
/uel$/,
/[au]ll$/,
/ow$/,
/old$/,
/oud$/,
/e[ae]p$/
]
var not_matches = [
/ary$/,
/ous$/
]
if (dont.hasOwnProperty(str)) {
return null
}
for (i = 0; i < transforms.length; i++) {
if (str.match(transforms[i].reg)) {
return str.replace(transforms[i].reg, transforms[i].repl)
}
}
if (convertables.hasOwnProperty(str)) {
if (str.match(/e$/)) {
return str + "r"
} else {
return str + "er"
}
}
if (irregulars.hasOwnProperty(str)) {
return irregulars[str]
}
var i;
for (i = 0; i < not_matches.length; i++) {
if (str.match(not_matches[i])) {
return "more " + str
}
}
for (i = 0; i < matches.length; i++) {
if (str.match(matches[i])) {
return str + "er"
}
}
return "more " + str
}
module.exports = main;
},{"./convertables":24}],27:[function(require,module,exports){
//convert cute to cuteness
module.exports = function (w) {
var irregulars = {
"clean": "cleanliness",
"naivety": "naivety"
};
if (!w) {
return "";
}
if (irregulars.hasOwnProperty(w)) {
return irregulars[w];
}
if (w.match(" ")) {
return w;
}
if (w.match(/w$/)) {
return w;
}
var transforms = [{
"reg": /y$/,
"repl": 'iness'
}, {
"reg": /le$/,
"repl": 'ility'
}, {
"reg": /ial$/,
"repl": 'y'
}, {
"reg": /al$/,
"repl": 'ality'
}, {
"reg": /ting$/,
"repl": 'ting'
}, {
"reg": /ring$/,
"repl": 'ring'
}, {
"reg": /bing$/,
"repl": 'bingness'
}, {
"reg": /sing$/,
"repl": 'se'
}, {
"reg": /ing$/,
"repl": 'ment'
}, {
"reg": /ess$/,
"repl": 'essness'
}, {
"reg": /ous$/,
"repl": 'ousness'
}, ]
for (var i = 0; i < transforms.length; i++) {
if (w.match(transforms[i].reg)) {
return w.replace(transforms[i].reg, transforms[i].repl);
}
}
if (w.match(/s$/)) {
return w;
}
return w + "ness";
};
},{}],28:[function(require,module,exports){
//turn 'quick' into 'quickest'
var convertables = require("./convertables")
module.exports = function (str) {
var irregulars = {
"nice": "nicest",
"late": "latest",
"hard": "hardest",
"inner": "innermost",
"outer": "outermost",
"far": "furthest",
"worse": "worst",
"bad": "worst",
"good": "best"
}
var dont = {
"overweight": 1,
"ready": 1
}
var transforms = [{
"reg": /y$/i,
"repl": 'iest'
}, {
"reg": /([aeiou])t$/i,
"repl": '$1ttest'
}, {
"reg": /([aeou])de$/i,
"repl": '$1dest'
}, {
"reg": /nge$/i,
"repl": 'ngest'
}]
var matches = [
/ght$/,
/nge$/,
/ough$/,
/ain$/,
/uel$/,
/[au]ll$/,
/ow$/,
/oud$/,
/...p$/
]
var not_matches = [
/ary$/
]
var generic_transformation = function (str) {
if (str.match(/e$/)) {
return str + "st"
} else {
return str + "est"
}
}
for (i = 0; i < transforms.length; i++) {
if (str.match(transforms[i].reg)) {
return str.replace(transforms[i].reg, transforms[i].repl)
}
}
if (convertables.hasOwnProperty(str)) {
return generic_transformation(str)
}
if (dont.hasOwnProperty(str)) {
return "most " + str
}
if (irregulars.hasOwnProperty(str)) {
return irregulars[str]
}
var i;
for (i = 0; i < not_matches.length; i++) {
if (str.match(not_matches[i])) {
return "most " + str
}
}
for (i = 0; i < matches.length; i++) {
if (str.match(matches[i])) {
return generic_transformation(str)
}
}
return "most " + str
}
},{"./convertables":24}],29:[function(require,module,exports){
//wrapper for Adjective's methods
var Adjective = function (str, sentence, word_i) {
var the = this
the.word = str || '';
var to_comparative = require("./conjugate/to_comparative")
var to_superlative = require("./conjugate/to_superlative")
var adj_to_adv = require("./conjugate/to_adverb")
var adj_to_noun = require("./conjugate/to_noun")
var parts_of_speech = require("../../data/parts_of_speech")
the.conjugate = function () {
return {
comparative: to_comparative(the.word),
superlative: to_superlative(the.word),
adverb: adj_to_adv(the.word),
noun: adj_to_noun(the.word)
}
}
the.which = (function () {
if (the.word.match(/..est$/)) {
return parts_of_speech['JJS']
}
if (the.word.match(/..er$/)) {
return parts_of_speech['JJR']
}
return parts_of_speech['JJ']
})()
return the;
};
module.exports = Adjective;
// console.log(new Adjective("crazy"))
},{"../../data/parts_of_speech":14,"./conjugate/to_adverb":25,"./conjugate/to_comparative":26,"./conjugate/to_noun":27,"./conjugate/to_superlative":28}],30:[function(require,module,exports){
//turns 'quickly' into 'quick'
module.exports = function (str) {
var irregulars = {
"idly": "idle",
"sporadically": "sporadic",
"basically": "basic",
"grammatically": "grammatical",
"alphabetically": "alphabetical",
"economically": "economical",
"conically": "conical",
"politically": "political",
"vertically": "vertical",
"practically": "practical",
"theoretically": "theoretical",
"critically": "critical",
"fantastically": "fantastic",
"mystically": "mystical",
"pornographically": "pornographic",
"fully": "full",
"jolly": "jolly",
"wholly": "whole"
}
var transforms = [{
"reg": /bly$/i,
"repl": 'ble'
}, {
"reg": /gically$/i,
"repl": 'gical'
}, {
"reg": /([rsdh])ically$/i,
"repl": '$1ical'
}, {
"reg": /ically$/i,
"repl": 'ic'
}, {
"reg": /uly$/i,
"repl": 'ue'
}, {
"reg": /ily$/i,
"repl": 'y'
}, {
"reg": /(.{3})ly$/i,
"repl": '$1'
}]
if (irregulars.hasOwnProperty(str)) {
return irregulars[str]
}
for (var i = 0; i < transforms.length; i++) {
if (str.match(transforms[i].reg)) {
return str.replace(transforms[i].reg, transforms[i].repl)
}
}
return str
}
// console.log(to_adjective('quickly') === 'quick')
// console.log(to_adjective('marvelously') === 'marvelous')
},{}],31:[function(require,module,exports){
//wrapper for Adverb's methods
var Adverb = function (str, sentence, word_i) {
var the = this
the.word = str || '';
var to_adjective = require("./conjugate/to_adjective")
var parts_of_speech = require("../../data/parts_of_speech")
the.conjugate = function () {
return {
adjective: to_adjective(the.word)
}
}
the.which = (function () {
if (the.word.match(/..est$/)) {
return parts_of_speech['RBS']
}
if (the.word.match(/..er$/)) {
return parts_of_speech['RBR']
}
return parts_of_speech['RB']
})()
return the;
}
module.exports = Adverb;
// console.log(new Adverb("suddenly").conjugate())
// console.log(adverbs.conjugate('powerfully'))
},{"../../data/parts_of_speech":14,"./conjugate/to_adjective":30}],32:[function(require,module,exports){
//converts nouns from plural and singular, and viceversases
//some regex borrowed from pksunkara/inflect
//https://github.com/pksunkara/inflect/blob/master/lib/defaults.js
var uncountables = require("../../../data/lexicon/uncountables")
var irregular_nouns = require("../../../data/lexicon/irregular_nouns")
var i;
//words that shouldn't ever inflect, for metaphysical reasons
uncountable_nouns = uncountables.reduce(function (h, a) {
h[a] = true
return h
}, {})
var titlecase = function (str) {
if (!str) {
return ''
}
return str.charAt(0).toUpperCase() + str.slice(1)
}
//these aren't nouns, but let's inflect them anyways
var irregulars = [
["he", "they"],
["she", "they"],
["this", "these"],
["that", "these"],
["mine", "ours"],
["hers", "theirs"],
["his", "theirs"],
["i", "we"],
["move", "_s"],
["myself", "ourselves"],
["yourself", "yourselves"],
["himself", "themselves"],
["herself", "themselves"],
["themself", "themselves"],
["its", "theirs"],
["theirs", "_"]
]
irregulars = irregulars.concat(irregular_nouns)
var pluralize_rules = [
[/(ax|test)is$/i, '$1es'],
[/(octop|vir|radi|nucle|fung|cact|stimul)us$/i, '$1i'],
[/(octop|vir)i$/i, '$1i'],
[/([rl])f$/i, '$1ves'],
[/(alias|status)$/i, '$1es'],
[/(bu)s$/i, '$1ses'],
[/(al|ad|at|er|et|ed|ad)o$/i, '$1oes'],
[/([ti])um$/i, '$1a'],
[/([ti])a$/i, '$1a'],
[/sis$/i, 'ses'],
[/(?:([^f])fe|([lr])f)$/i, '$1ves'],
[/(hive)$/i, '$1s'],
[/([^aeiouy]|qu)y$/i, '$1ies'],
[/(x|ch|ss|sh|s|z)$/i, '$1es'],
[/(matr|vert|ind|cort)(ix|ex)$/i, '$1ices'],
[/([m|l])ouse$/i, '$1ice'],
[/([m|l])ice$/i, '$1ice'],
[/^(ox)$/i, '$1en'],
[/^(oxen)$/i, '$1'],
[/(quiz)$/i, '$1zes'],
[/(antenn|formul|nebul|vertebr|vit)a$/i, '$1ae'],
[/(sis)$/i, 'ses'],
[/^(?!talis|.*hu)(.*)man$/i, '$1men'],
[/(.*)/i, '$1s']
].map(function (a) {
return {
reg: a[0],
repl: a[1]
}
})
var pluralize = function (str) {
var low = str.toLowerCase()
//uncountable
if (uncountable_nouns[low]) {
return str
}
//is it already plural?
if (is_plural(low) === true) {
return str
}
//irregular
var found = irregulars.filter(function (r) {
return r[0] === low
})
if (found[0]) {
if (titlecase(low) === str) { //handle capitalisation properly
return titlecase(found[0][1])
} else {
return found[0][1]
}
}
//inflect first word of preposition-phrase
if (str.match(/([a-z]*) (of|in|by|for) [a-z]/)) {
var first = (str.match(/^([a-z]*) (of|in|by|for) [a-z]/) || [])[1]
if (first) {
var better_first = pluralize(first)
return better_first + str.replace(first, '')
}
}
//regular
for (i = 0; i < pluralize_rules.length; i++) {
if (str.match(pluralize_rules[i].reg)) {
return str.replace(pluralize_rules[i].reg, pluralize_rules[i].repl)
}
}
}
var singularize_rules = [
[/([^v])ies$/i, '$1y'],
[/ises$/i, 'isis'],
[/ives$/i, 'ife'],
[/(antenn|formul|nebul|vertebr|vit)ae$/i, '$1a'],
[/(octop|vir|radi|nucle|fung|cact|stimul)(i)$/i, '$1us'],
[/(buffal|tomat|tornad)(oes)$/i, '$1o'],
[/((a)naly|(b)a|(d)iagno|(p)arenthe|(p)rogno|(s)ynop|(t)he)ses$/i, '$1sis'],
[/(vert|ind|cort)(ices)$/i, '$1ex'],
[/(matr|append)(ices)$/i, '$1ix'],
[/(x|ch|ss|sh|s|z|o)es$/i, '$1'],
[/men$/i, 'man'],
[/(n)ews$/i, '$1ews'],
[/([ti])a$/i, '$1um'],
[/([^f])ves$/i, '$1fe'],
[/([lr])ves$/i, '$1f'],
[/([^aeiouy]|qu)ies$/i, '$1y'],
[/(s)eries$/i, '$1eries'],
[/(m)ovies$/i, '$1ovie'],
[/([m|l])ice$/i, '$1ouse'],
[/(cris|ax|test)es$/i, '$1is'],
[/(alias|status)es$/i, '$1'],
[/(ss)$/i, '$1'],
[/(ics)$/i, "$1"],
[/s$/i, '']
].map(function (a) {
return {
reg: a[0],
repl: a[1]
}
})
var singularize = function (str) {
var low = str.toLowerCase()
//uncountable
if (uncountable_nouns[low]) {
return str
}
//is it already singular?
if (is_plural(low) === false) {
return str
}
//irregular
var found = irregulars.filter(function (r) {
return r[1] === low
})
if (found[0]) {
if (titlecase(low) === str) { //handle capitalisation properly
return titlecase(found[0][0])
} else {
return found[0][0]
}
}
//inflect first word of preposition-phrase
if (str.match(/([a-z]*) (of|in|by|for) [a-z]/)) {
var first = str.match(/^([a-z]*) (of|in|by|for) [a-z]/)
if (first && first[1]) {
var better_first = singularize(first[1])
return better_first + str.replace(first[1], '')
}
}
//regular
for (i = 0; i < singularize_rules.length; i++) {
if (str.match(singularize_rules[i].reg)) {
return str.replace(singularize_rules[i].reg, singularize_rules[i].repl)
}
}
return str
}
var is_plural = function (str) {
str = (str || '').toLowerCase()
//handle 'mayors of chicago'
var preposition = str.match(/([a-z]*) (of|in|by|for) [a-z]/)
if (preposition && preposition[1]) {
str = preposition[1]
}
// if it's a known irregular case
for (i = 0; i < irregulars.length; i++) {
if (irregulars[i][1] === str) {
return true
}
if (irregulars[i][0] === str) {
return false
}
}
//similar to plural/singularize rules, but not the same
var plural_indicators = [
/(^v)ies$/i,
/ises$/i,
/ives$/i,
/(antenn|formul|nebul|vertebr|vit)ae$/i,
/(octop|vir|radi|nucle|fung|cact|stimul)i$/i,
/(buffal|tomat|tornad)oes$/i,
/(analy|ba|diagno|parenthe|progno|synop|the)ses$/i,
/(vert|ind|cort)ices$/i,
/(matr|append)ices$/i,
/(x|ch|ss|sh|s|z|o)es$/i,
/men$/i,
/news$/i,
/.tia$/i,
/(^f)ves$/i,
/(lr)ves$/i,
/(^aeiouy|qu)ies$/i,
/(m|l)ice$/i,
/(cris|ax|test)es$/i,
/(alias|status)es$/i,
/ics$/i
]
for (i = 0; i < plural_indicators.length; i++) {
if (str.match(plural_indicators[i])) {
return true
}
}
//similar to plural/singularize rules, but not the same
var singular_indicators = [
/(ax|test)is$/i,
/(octop|vir|radi|nucle|fung|cact|stimul)us$/i,
/(octop|vir)i$/i,
/(rl)f$/i,
/(alias|status)$/i,
/(bu)s$/i,
/(al|ad|at|er|et|ed|ad)o$/i,
/(ti)um$/i,
/(ti)a$/i,
/sis$/i,
/(?:(^f)fe|(lr)f)$/i,
/hive$/i,
/(^aeiouy|qu)y$/i,
/(x|ch|ss|sh|z)$/i,
/(matr|vert|ind|cort)(ix|ex)$/i,
/(m|l)ouse$/i,
/(m|l)ice$/i,
/(antenn|formul|nebul|vertebr|vit)a$/i,
/.sis$/i,
/^(?!talis|.*hu)(.*)man$/i
]
for (i = 0; i < singular_indicators.length; i++) {
if (str.match(singular_indicators[i])) {
return false
}
}
// 'looks pretty plural' rules
if (str.match(/s$/) && !str.match(/ss$/) && str.length > 3) { //needs some lovin'
return true
}
return false
}
var inflect = function (str) {
if (uncountable_nouns[str]) { //uncountables shouldn't ever inflect
return {
plural: str,
singular: str
}
}
if (is_plural(str)) {
return {
plural: str,
singular: singularize(str)
}
} else {
return {
singular: str,
plural: pluralize(str)
}
}
}
module.exports = {
inflect: inflect,
is_plural: is_plural,
singularize: singularize,
pluralize: pluralize
}
// console.log(inflect.singularize('kisses')=="kiss")
// console.log(inflect.singularize('kiss')=="kiss")
// console.log(inflect.singularize('children')=="child")
// console.log(inflect.singularize('child')=="child")
// console.log(inflect.pluralize('gas')=="gases")
// console.log(inflect.pluralize('narrative')=="narratives")
// console.log(inflect.singularize('gases')=="gas")
// console.log(inflect.pluralize('video')=="videos")
// console.log(inflect.pluralize('photo')=="photos")
// console.log(inflect.pluralize('stomach')=="stomachs")
// console.log(inflect.pluralize('database')=="databases")
// console.log(inflect.pluralize('kiss')=="kisses")
// console.log(inflect.pluralize('towns')=="towns")
// console.log(inflect.pluralize('mayor of chicago')=="mayors of chicago")
// console.log(inflect.inflect('Index').plural=='Indices')
// console.log(inflect.is_plural('octopus')==false)
// console.log(inflect.is_plural('octopi')==true)
// console.log(inflect.is_plural('eyebrow')==false)
// console.log(inflect.is_plural('eyebrows')==true)
// console.log(inflect.is_plural('child')==false)
// console.log(inflect.is_plural('children')==true)
// console.log(inflect.singularize('mayors of chicago')=="mayor of chicago")
},{"../../../data/lexicon/irregular_nouns":8,"../../../data/lexicon/uncountables":11}],33:[function(require,module,exports){
//chooses an indefinite aricle 'a/an' for a word
module.exports = function (str) {
if (!str) {
return null
}
var irregulars = {
"hour": "an",
"heir": "an",
"heirloom": "an",
"honest": "an",
"honour": "an",
"honor": "an",
"uber": "an" //german u
}
var is_acronym = function (s) {
//no periods
if (s.length <= 5 && s.match(/^[A-Z]*$/)) {
return true
}
//with periods
if (s.length >= 4 && s.match(/^([A-Z]\.)*$/)) {
return true
}
return false
}
//pronounced letters of acronyms that get a 'an'
var an_acronyms = {
A: true,
E: true,
F: true,
H: true,
I: true,
L: true,
M: true,
N: true,
O: true,
R: true,
S: true,
X: true
}
//'a' regexes
var a_regexs = [
/^onc?e/i, //'wu' sound of 'o'
/^u[bcfhjkqrstn][aeiou]/i, // 'yu' sound for hard 'u'
/^eul/i
];
//begin business time
////////////////////
//explicit irregular forms
if (irregulars.hasOwnProperty(str)) {
return irregulars[str]
}
//spelled-out acronyms
if (is_acronym(str) && an_acronyms.hasOwnProperty(str.substr(0, 1))) {
return "an"
}
//'a' regexes
for (var i = 0; i < a_regexs.length; i++) {
if (str.match(a_regexs[i])) {
return "a"
}
}
//basic vowel-startings
if (str.match(/^[aeiou]/i)) {
return "an"
}
return "a"
}
// console.log(indefinite_article("wolf") === "a")
},{}],34:[function(require,module,exports){
//wrapper for noun's methods
var Noun = function (str, sentence, word_i) {
var the = this
var token, next;
if (sentence !== undefined && word_i !== undefined) {
token = sentence.tokens[word_i]
next = sentence.tokens[word_i + i]
}
the.word = str || '';
var parts_of_speech = require("../../data/parts_of_speech")
var firstnames = require("../../data/lexicon/firstnames")
var honourifics = require("../../data/lexicon/honourifics")
var inflect = require("./conjugate/inflect")
var indefinite_article = require("./indefinite_article")
//personal pronouns
var prps = {
"it": "PRP",
"they": "PRP",
"i": "PRP",
"them": "PRP",
"you": "PRP",
"she": "PRP",
"me": "PRP",
"he": "PRP",
"him": "PRP",
"her": "PRP",
"us": "PRP",
"we": "PRP",
"thou": "PRP"
}
var blacklist = {
"itself": 1,
"west": 1,
"western": 1,
"east": 1,
"eastern": 1,
"north": 1,
"northern": 1,
"south": 1,
"southern": 1,
"the": 1,
"one": 1,
"your": 1,
"my": 1,
"today": 1,
"yesterday": 1,
"tomorrow": 1,
"era": 1,
"century": 1,
"it": 1
}
//for resolution of obama -> he -> his
var posessives = {
"his": "he",
"her": "she",
"hers": "she",
"their": "they",
"them": "they",
"its": "it"
}
the.is_acronym = function () {
var s = the.word
//no periods
if (s.length <= 5 && s.match(/^[A-Z]*$/)) {
return true
}
//with periods
if (s.length >= 4 && s.match(/^([A-Z]\.)*$/)) {
return true
}
return false
}
the.is_entity = function () {
if (!token) {
return false
}
if (token.normalised.length < 3 || !token.normalised.match(/[a-z]/i)) {
return false
}
//prepositions
if (prps[token.normalised]) {
return false
}
//blacklist
if (blacklist[token.normalised]) {
return false
}
//discredit specific nouns forms
if (token.pos) {
if (token.pos.tag == "NNA") { //eg. 'singer'
return false
}
if (token.pos.tag == "NNO") { //eg. "spencer's"
return false
}
if (token.pos.tag == "NNG") { //eg. 'walking'
return false
}
if (token.pos.tag == "NNP") { //yes! eg. 'Edinburough'
return true
}
}
//distinct capital is very good signal
if (token.noun_capital) {
return true
}
//multiple-word nouns are very good signal
if (token.normalised.match(/ /)) {
return true
}
//if it has an acronym/abbreviation, like 'business ltd.'
if (token.normalised.match(/\./)) {
return true
}
//appears to be a non-capital acronym, and not just caps-lock
if (token.normalised.length < 5 && token.text.match(/^[A-Z]*$/)) {
return true
}
//acronyms are a-ok
if (the.is_acronym()) {
return true
}
//else, be conservative
return false
}
the.conjugate = function () {
return inflect.inflect(the.word)
}
the.is_plural = function () {
return inflect.is_plural(the.word)
}
the.article = function () {
if (the.is_plural()) {
return "the"
} else {
return indefinite_article(the.word)
}
}
the.pluralize = function () {
return inflect.pluralize(the.word)
}
the.singularize = function () {
return inflect.singularize(the.word)
}
//uses common first-name list + honourifics to guess if this noun is the name of a person
the.is_person = function () {
var i, l;
//remove things that are often named after people
var blacklist = [
"center",
"centre",
"memorial",
"school",
"bridge",
"university",
"house",
"college",
"square",
"park",
"foundation",
"institute",
"club",
"museum",
"arena",
"stadium",
"ss",
"of",
"the",
"for",
"and",
"&",
"co",
"sons"
]
l = blacklist.length
for (i = 0; i < l; i++) {
if (the.word.match(new RegExp("\\b" + blacklist[i] + "\\b", "i"))) {
return false
}
}
//see if noun has an honourific, like 'jr.'
l = honourifics.length;
for (i = 0; i < l; i++) {
if (the.word.match(new RegExp("\\b" + honourifics[i] + "\\.?\\b", 'i'))) {
return true
}
}
//see if noun has a known first-name
var names = the.word.split(' ').map(function (a) {
return a.toLowerCase()
})
if (firstnames[names[0]]) {
return true
}
//(test middle name too, if there's one)
if (names.length > 2 && firstnames[names[1]]) {
return true
}
//if it has an initial between two words
if (the.word.match(/[a-z]{3,20} [a-z]\.? [a-z]{3,20}/i)) {
return true
}
return false
}
//decides if it deserves a he, she, they, or it
the.pronoun = function () {
//if it's a person try to classify male/female
if (the.is_person()) {
var names = the.word.split(' ').map(function (a) {
return a.toLowerCase()
})
if (firstnames[names[0]] === "m" || firstnames[names[1]] == "m") {
return "he"
}
if (firstnames[names[0]] === "f" || firstnames[names[1]] == "f") {
return "she"
}
//test some honourifics
if (the.word.match(/^(mrs|miss|ms|misses|mme|mlle)\.? /, 'i')) {
return "she"
}
if (the.word.match(/\b(mr|mister|sr|jr)\b/, 'i')) {
return "he"
}
//if it's a known unisex name, don't try guess it. be safe.
if (firstnames[names[0]] === "a" || firstnames[names[1]] == "a") {
return "they"
}
//if we think it's a person, but still don't know the gender, do a little guessing
if (names[0].match(/[aeiy]$/)) { //if it ends in a 'ee or ah', female
return "she"
}
if (names[0].match(/[ou]$/)) { //if it ends in a 'oh or uh', male
return "he"
}
if (names[0].match(/(nn|ll|tt)/)) { //if it has double-consonants, female
return "she"
}
//fallback to 'singular-they'
return "they"
}
//not a person
if (the.is_plural()) {
return "they"
}
return "it"
}
//list of pronouns that refer to this named noun. "[obama] is cool, [he] is nice."
the.referenced_by = function () {
//if it's named-noun, look forward for the pronouns pointing to it -> '... he'
if (token && token.pos.tag !== "PRP" && token.pos.tag !== "PP") {
var prp = the.pronoun()
//look at rest of sentence
var interested = sentence.tokens.slice(word_i + 1, sentence.tokens.length)
//add next sentence too, could go further..
if (sentence.next) {
interested = interested.concat(sentence.next.tokens)
}
//find the matching pronouns, and break if another noun overwrites it
var matches = []
for (var i = 0; i < interested.length; i++) {
if (interested[i].pos.tag === "PRP" && (interested[i].normalised === prp || posessives[interested[i].normalised] === prp)) {
//this pronoun points at our noun
matches.push(interested[i])
} else if (interested[i].pos.tag === "PP" && posessives[interested[i].normalised] === prp) {
//this posessive pronoun ('his/her') points at our noun
matches.push(interested[i])
} else if (interested[i].pos.parent === "noun" && interested[i].analysis.pronoun() === prp) {
//this noun stops our further pursuit
break
}
}
return matches
}
return []
}
// a pronoun that points at a noun mentioned previously '[he] is nice'
the.reference_to = function () {
//if it's a pronoun, look backwards for the first mention '[obama]... <-.. [he]'
if (token && (token.pos.tag === "PRP" || token.pos.tag === "PP")) {
var prp = token.normalised
var possessives={
"his":"he",
"her":"she",
"their":"they"
}
if(possessives[prp]!==undefined){//support possessives
prp=possessives[prp]
}
//look at starting of this sentence
var interested = sentence.tokens.slice(0, word_i)
//add previous sentence, if applicable
if (sentence.last) {
interested = sentence.last.tokens.concat(interested)
}
//reverse the terms to loop through backward..
interested = interested.reverse()
for (var i = 0; i < interested.length; i++) {
//it's a match
if (interested[i].pos.parent === "noun" && interested[i].pos.tag !== "PRP" && interested[i].analysis.pronoun() === prp) {
return interested[i]
}
}
}
}
//specifically which pos it is
the.which = (function () {
//posessive
if (the.word.match(/'s$/)) {
return parts_of_speech['NNO']
}
//plural
// if (the.is_plural) {
// return parts_of_speech['NNS']
// }
//generic
return parts_of_speech['NN']
})()
return the;
}
module.exports = Noun;
// console.log(new Noun('farmhouse').is_entity())
// console.log(new Noun("FBI").is_acronym())
// console.log(new Noun("Tony Danza").is_person())
// console.log(new Noun("Tony Danza").pronoun()=="he")
// console.log(new Noun("Tanya Danza").pronoun()=="she")
// console.log(new Noun("mrs. Taya Danza").pronoun()=="she")
// console.log(new Noun("Gool Tanya Danza").pronoun()=="she")
// console.log(new Noun("illi G. Danza").pronoun()=="she")
// console.log(new Noun("horses").pronoun()=="they")
},{"../../data/lexicon/firstnames":6,"../../data/lexicon/honourifics":7,"../../data/parts_of_speech":14,"./conjugate/inflect":32,"./indefinite_article":33}],35:[function(require,module,exports){
//Parents are classes for each main part of speech, with appropriate methods
//load files if server-side, otherwise assume these are prepended already
var Adjective = require("./adjective/index");
var Noun = require("./noun/index");
var Adverb = require("./adverb/index");
var Verb = require("./verb/index");
var Value = require("./value/index");
var parents = {
adjective: function(str, next, last, token) {
return new Adjective(str, next, last, token)
},
noun: function(str, next, last, token) {
return new Noun(str, next, last, token)
},
adverb: function(str, next, last, token) {
return new Adverb(str, next, last, token)
},
verb: function(str, next, last, token) {
return new Verb(str, next, last, token)
},
value: function(str, next, last, token) {
return new Value(str, next, last, token)
},
glue: function(str, next, last, token) {
return {}
}
}
module.exports = parents;
},{"./adjective/index":29,"./adverb/index":31,"./noun/index":34,"./value/index":37,"./verb/index":44}],36:[function(require,module,exports){
// #generates properly-formatted dates from free-text date forms
// #by spencer kelly 2014
var months = "(january|february|march|april|may|june|july|august|september|october|november|december|jan|feb|mar|apr|aug|sept|oct|nov|dec),?";
var days = "([0-9]{1,2}),?";
var years = "([12][0-9]{3})";
var to_obj = function (arr, places) {
return Object.keys(places).reduce(function (h, k) {
h[k] = arr[places[k]];
return h;
}, {});
}
var regexes = [{
reg: String(months) + " " + String(days) + "-" + String(days) + " " + String(years),
example: "March 7th-11th 1987",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
month: 1,
day: 2,
to_day: 3,
year: 4
};
return to_obj(arr, places);
}
}, {
reg: String(days) + " of " + String(months) + " to " + String(days) + " of " + String(months) + " " + String(years),
example: "28th of September to 5th of October 2008",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
day: 1,
month: 2,
to_day: 3,
to_month: 4,
to_year: 5
};
return to_obj(arr, places);
}
}, {
reg: String(months) + " " + String(days) + " to " + String(months) + " " + String(days) + " " + String(years),
example: "March 7th to june 11th 1987",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
month: 1,
day: 2,
to_month: 3,
to_day: 4,
year: 5,
to_year: 5
};
return to_obj(arr, places);
}
}, {
reg: "between " + String(days) + " " + String(months) + " and " + String(days) + " " + String(months) + " " + String(years),
example: "between 13 February and 15 February 1945",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
day: 1,
month: 2,
to_day: 3,
to_month: 4,
year: 5,
to_year: 5
};
return to_obj(arr, places);
}
}, {
reg: "between " + String(months) + " " + String(days) + " and " + String(months) + " " + String(days) + " " + String(years),
example: "between March 7th and june 11th 1987",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
month: 1,
day: 2,
to_month: 3,
to_day: 4,
year: 5,
to_year: 5
};
return to_obj(arr, places);
}
}, {
reg: String(months) + " " + String(days) + " " + String(years),
example: "March 1st 1987",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
month: 1,
day: 2,
year: 3
};
return to_obj(arr, places);
}
}, {
reg: String(days) + " - " + String(days) + " of " + String(months) + " " + String(years),
example: "3rd - 5th of March 1969",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
day: 1,
to_day: 2,
month: 3,
year: 4
};
return to_obj(arr, places);
}
}, {
reg: String(days) + " of " + String(months) + " " + String(years),
example: "3rd of March 1969",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
day: 1,
month: 2,
year: 3
};
return to_obj(arr, places);
}
}, {
reg: String(months) + " " + years + ",? to " + String(months) + " " + String(years),
example: "September 1939 to April 1945",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
month: 1,
year: 2,
to_month: 3,
to_year: 4
};
return to_obj(arr, places);
}
}, {
reg: String(months) + " " + String(years),
example: "March 1969",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
month: 1,
year: 2
};
return to_obj(arr, places);
}
}, {
reg: String(months) + " " + days,
example: "March 18th",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
month: 1,
day: 2
};
return to_obj(arr, places);
}
}, {
reg: String(days) + " of " + months,
example: "18th of March",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
month: 2,
day: 1
};
return to_obj(arr, places);
}
}, {
reg: years + " ?- ?" + String(years),
example: "1997-1998",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
year: 1,
to_year: 2
};
return to_obj(arr, places);
}
}, {
reg: years,
example: "1998",
process: function (arr) {
if (!arr) {
arr = [];
}
var places = {
year: 1
};
return to_obj(arr, places);
}
}].map(function (o) {
o.reg = new RegExp(o.reg, "g");
return o;
});
//0 based months, 1 based days...
var months_obj = {
january: 0,
february: 1,
march: 2,
april: 3,
may: 4,
june: 5,
july: 6,
august: 7,
september: 8,
october: 9,
november: 10,
december: 11,
jan: 0,
feb: 1,
mar: 2,
apr: 3,
aug: 7,
sept: 8,
oct: 9,
nov: 10,
dec: 11
};
//thirty days hath september...
var last_dates = [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];
var preprocess = function (str) {
str = str.toLowerCase();
str = str.replace(/([0-9])(th|rd|st)/g, '$1');
return str;
};
var postprocess = function (obj, options) {
var d;
d = new Date();
options = options || {};
obj.year = parseInt(obj.year, 10) || undefined;
obj.day = parseInt(obj.day, 10) || undefined;
obj.to_day = parseInt(obj.to_day, 10) || undefined;
obj.to_year = parseInt(obj.to_year, 10) || undefined;
obj.month = months_obj[obj.month];
obj.to_month = months_obj[obj.to_month];
//swap to_month and month
if (obj.to_month !== undefined && obj.month === undefined) {
obj.month = obj.to_month;
}
if (obj.to_month === undefined && obj.month !== undefined) {
obj.to_month = obj.month;
}
//swap to_year and year
if (obj.to_year && !obj.year) {
obj.year = obj.to_year;
}
if (!obj.to_year && obj.year && obj.to_month !== undefined) {
obj.to_year = obj.year;
}
if (options.assume_year && !obj.year) {
obj.year = d.getFullYear();
}
//make sure date is in that month..
if (obj.day !== undefined && (obj.day > 31 || (obj.month !== undefined && obj.day > last_dates[obj.month]))) {
obj.day = undefined;
}
//make sure to date is after from date. fail everything if so...
//todo: do this smarter
if (obj.to_month !== undefined && obj.to_month < obj.month) {
return {}
}
if (obj.to_year && obj.to_year < obj.year) {
obj.year = undefined;
obj.to_year = undefined;
}
//make sure date is in reasonable range (very opinionated)
if (obj.year > 2090 || obj.year < 1200) {
obj.year = undefined;
obj.to_year = undefined;
}
//format result better
obj = {
day: obj.day,
month: obj.month,
year: obj.year,
to: {
day: obj.to_day,
month: obj.to_month,
year: obj.to_year
}
};
//add javascript date objects, if you can
if (obj.year && obj.day && obj.month !== undefined) {
obj.date_object = new Date();
obj.date_object.setYear(obj.year);
obj.date_object.setMonth(obj.month);
obj.date_object.setDate(obj.day);
}
if (obj.to.year && obj.to.day && obj.to.month !== undefined) {
obj.to.date_object = new Date();
obj.to.date_object.setYear(obj.to.year);
obj.to.date_object.setMonth(obj.to.month);
obj.to.date_object.setDate(obj.to.day);
}
//if we have enough data to return a result..
if (obj.year || obj.month !== undefined) {
return obj;
}
return {};
};
//pass through sequence of regexes until tempate is matched..
module.exports = function (str, options) {
options = options || {};
str = preprocess(str)
var arr, good, clone_reg, obj;
var l = regexes.length;
for (var i = 0; i < l; i += 1) {
obj = regexes[i]
if (str.match(obj.reg)) {
clone_reg = new RegExp(obj.reg.source, "i"); //this avoids a memory-leak
arr = clone_reg.exec(str);
good = obj.process(arr);
return postprocess(good, options);
}
}
};
// console.log(date_extractor("1998"))
// console.log(date_extractor("1999"))
},{}],37:[function(require,module,exports){
//wrapper for value's methods
var Value = function (str, sentence, word_i) {
var the = this
the.word = str || '';
var to_number = require("./to_number")
var date_extractor = require("./date_extractor")
var parts_of_speech = require("../../data/parts_of_speech")
the.date = function (options) {
options = options || {}
return date_extractor(the.word, options)
}
the.is_date = function () {
var months = /(january|february|march|april|may|june|july|august|september|october|november|december|jan|feb|mar|apr|aug|sept|oct|nov|dec)/i
var times = /1?[0-9]:[0-9]{2}/
var days = /\b(monday|tuesday|wednesday|thursday|friday|saturday|sunday|mon|tues|wed|thurs|fri|sat|sun)\b/i
if (the.word.match(months) || the.word.match(times) || the.word.match(days)) {
return true
}
return false
}
the.number = function () {
if (the.is_date()) {
return null
}
return to_number(the.word)
}
the.which = (function () {
if (the.date()) {
return parts_of_speech['DA']
}
if (the.number()) {
return parts_of_speech['NU']
}
return parts_of_speech['CD']
})()
return the;
};
module.exports = Value;
// console.log(new Value("fifty five").number())
// console.log(new Value("june 5th 1998").date())
},{"../../data/parts_of_speech":14,"./date_extractor":36,"./to_number":38}],38:[function(require,module,exports){
// converts spoken numbers into integers "fifty seven point eight" -> 57.8
//
// Spoken numbers take the following format
// [sixty five] (thousand) [sixty five] (hundred) [sixty five]
// aka: [one/teen/ten] (multiple) [one/teen/ten] (multiple) ...
// combile the [one/teen/ten]s as 'current_sum', then multiply it by its following multiple
// multiple not repeat
"use strict";
//these sets of numbers each have different rules
//[tenth, hundreth, thousandth..] are ambiguous because they could be ordinal like fifth, or decimal like one-one-hundredth, so are ignored
var ones = {
'a': 1,
'zero': 0,
'one': 1,
'two': 2,
'three': 3,
'four': 4,
'five': 5,
'six': 6,
'seven': 7,
'eight': 8,
'nine': 9,
"first": 1,
"second": 2,
"third": 3,
"fourth": 4,
"fifth": 5,
"sixth": 6,
"seventh": 7,
"eighth": 8,
"ninth": 9
}
var teens = {
'ten': 10,
'eleven': 11,
'twelve': 12,
'thirteen': 13,
'fourteen': 14,
'fifteen': 15,
'sixteen': 16,
'seventeen': 17,
'eighteen': 18,
'nineteen': 19,
"eleventh": 11,
"twelfth": 12,
"thirteenth": 13,
"fourteenth": 14,
"fifteenth": 15,
"sixteenth": 16,
"seventeenth": 17,
"eighteenth": 18,
"nineteenth": 19
}
var tens = {
'twenty': 20,
'thirty': 30,
'forty': 40,
'fifty': 50,
'sixty': 60,
'seventy': 70,
'eighty': 80,
'ninety': 90,
"twentieth": 20,
"thirtieth": 30,
"fourtieth": 40,
"fiftieth": 50,
"sixtieth": 60,
"seventieth": 70,
"eightieth": 80,
"ninetieth": 90
}
var multiple = {
'hundred': 100,
'grand': 1000,
'thousand': 1000,
'million': 1000000,
'billion': 1000000000,
'trillion': 1000000000000,
'quadrillion': 1000000000000000,
'quintillion': 1000000000000000000,
'sextillion': 1000000000000000000000,
'septillion': 1000000000000000000000000,
'octillion': 1000000000000000000000000000,
'nonillion': 1000000000000000000000000000000,
'decillion': 1000000000000000000000000000000000
}
// var decimal_multiple={'tenth':0.1, 'hundredth':0.01, 'thousandth':0.001, 'millionth':0.000001,'billionth':0.000000001};
var main = function (s) {
//remember these concerns for possible errors
var ones_done = false
var teens_done = false
var tens_done = false
var multiple_done = {}
var total = 0
var global_multiplier = 1
//pretty-printed numbers
s = s.replace(/, ?/g, '')
//parse-out currency
s = s.replace(/[$£€]/, '')
//try to finish-fast
if (s.match(/[0-9]\.[0-9]/) && parseFloat(s) == s) {
return parseFloat(s)
}
if (parseInt(s, 10) == s) {
return parseInt(s, 10)
}
//try to die fast. (phone numbers or times)
if (s.match(/[0-9][\-:][0-9]/)) {
return null
}
//support global multipliers, like 'half-million' by doing 'million' then multiplying by 0.5
var mults = [{
reg: /^(minus|negative)[\s\-]/i,
mult: -1
}, {
reg: /^(a\s)?half[\s\-](of\s)?/i,
mult: 0.5
}, {
reg: /^(a\s)?quarter[\s\-]/i,
mult: 0.25
}]
for (i = 0; i < mults.length; i++) {
if (s.match(mults[i].reg)) {
global_multiplier = mults[i].mult
s = s.replace(mults[i].reg, '')
break;
}
}
//do each word in turn..
var words = s.toString().split(/[\s\-]+/);
var w, x;
var current_sum = 0;
var local_multiplier = 1
var decimal_mode = false
for (var i = 0; i < words.length; i++) {
w = words[i]
//skip 'and' eg. five hundred and twelve
if (w == "and") {
continue;
}
//..we're doing decimals now
if (w == "point" || w == "decimal") {
if (decimal_mode) {
return null
} //two point one point six
decimal_mode = true
total += current_sum
current_sum = 0
ones_done = false
local_multiplier = 0.1
continue;
}
//handle special rules following a decimal
if (decimal_mode) {
x = null
//allow consecutive ones in decimals eg. 'two point zero five nine'
if (ones[w] !== undefined) {
x = ones[w]
}
if (teens[w] !== undefined) {
x = teens[w]
}
if (parseInt(w, 10) == w) {
x = parseInt(w, 10)
}
if (!x) {
return null
}
if (x < 10) {
total += x * local_multiplier
local_multiplier = local_multiplier * 0.1 // next number is next decimal place
current_sum = 0
continue;
}
//two-digit decimals eg. 'two point sixteen'
if (x < 100) {
total += x * (local_multiplier * 0.1)
local_multiplier = local_multiplier * 0.01 // next number is next decimal place
current_sum = 0
continue;
}
}
//if it's already an actual number
if (w.match(/^[0-9]\.[0-9]$/)) {
current_sum += parseFloat(w)
continue;
}
if (parseInt(w, 10) == w) {
current_sum += parseInt(w, 10)
continue;
}
//ones rules
if (ones[w] !== undefined) {
if (ones_done) {
return null
} // eg. five seven
if (teens_done) {
return null
} // eg. five seventeen
ones_done = true
current_sum += ones[w]
continue;
}
//teens rules
if (teens[w]) {
if (ones_done) {
return null
} // eg. five seventeen
if (teens_done) {
return null
} // eg. fifteen seventeen
if (tens_done) {
return null
} // eg. sixty fifteen
teens_done = true
current_sum += teens[w]
continue;
}
//tens rules
if (tens[w]) {
if (ones_done) {
return null
} // eg. five seventy
if (teens_done) {
return null
} // eg. fiveteen seventy
if (tens_done) {
return null
} // eg. twenty seventy
tens_done = true
current_sum += tens[w]
continue;
}
//multiple rules
if (multiple[w]) {
if (multiple_done[w]) {
return null
} // eg. five hundred six hundred
multiple_done[w] = true
//reset our concerns. allow 'five hundred five'
ones_done = false
teens_done = false
tens_done = false
//case of 'hundred million', (2 consecutive multipliers)
if (current_sum === 0) {
total = total || 1 //dont ever multiply by 0
total *= multiple[w]
} else {
current_sum *= multiple[w]
total += current_sum
}
current_sum = 0
continue;
}
//if word is not a known thing now, die
return null
}
if (current_sum) {
total += (current_sum || 1) * local_multiplier
}
//combine with global multiplier, like 'minus' or 'half'
total = total * global_multiplier
return total
}
//kick it into module
module.exports = main;
// console.log(to_number("sixteen hundred"))
// console.log(to_number("a hundred"))
// console.log(to_number("four point seven seven"))
},{}],39:[function(require,module,exports){
//turn a verb into its other grammatical forms.
var verb_to_doer = require("./to_doer")
var verb_irregulars = require("./verb_irregulars")
var verb_rules = require("./verb_rules")
var suffix_rules = require("./suffix_rules")
//this method is the slowest in the whole library, basically TODO:whaaa
var predict = function (w) {
var endsWith = function (str, suffix) {
return str.indexOf(suffix, str.length - suffix.length) !== -1;
}
var arr = Object.keys(suffix_rules);
for (i = 0; i < arr.length; i++) {
if (endsWith(w, arr[i])) {
return suffix_rules[arr[i]]
}
}
return "infinitive"
}
//fallback to this transformation if it has an unknown prefix
var fallback = function (w) {
var infinitive;
if (w.length > 4) {
infinitive = w.replace(/ed$/, '');
} else {
infinitive = w.replace(/d$/, '');
}
var present, past, gerund, doer;
if (w.match(/[^aeiou]$/)) {
gerund = w + "ing"
past = w + "ed"
if (w.match(/ss$/)) {
present = w + "es" //'passes'
} else {
present = w + "s"
}
doer = verb_to_doer(infinitive)
} else {
gerund = w.replace(/[aeiou]$/, 'ing')
past = w.replace(/[aeiou]$/, 'ed')
present = w.replace(/[aeiou]$/, 'es')
doer = verb_to_doer(infinitive)
}
return {
infinitive: infinitive,
present: present,
past: past,
gerund: gerund,
doer: doer,
future: "will " + infinitive
}
}
//make sure object has all forms
var fufill = function (obj, prefix) {
if (!obj.infinitive) {
return obj
}
if (!obj.gerund) {
obj.gerund = obj.infinitive + 'ing'
}
if (!obj.doer) {
obj.doer = verb_to_doer(obj.infinitive)
}
if (!obj.present) {
obj.present = obj.infinitive + 's'
}
if (!obj.past) {
obj.past = obj.infinitive + 'ed'
}
//add the prefix to all forms, if it exists
if (prefix) {
Object.keys(obj).forEach(function (k) {
obj[k] = prefix + obj[k]
})
}
//future is 'will'+infinitive
if (!obj.future) {
obj.future = "will " + obj.infinitive
}
//perfect is 'have'+past-tense
if (!obj.perfect) {
obj.perfect = "have " + obj.past
}
//pluperfect is 'had'+past-tense
if (!obj.pluperfect) {
obj.pluperfect = "had " + obj.past
}
//future perfect is 'will have'+past-tense
if (!obj.future_perfect) {
obj.future_perfect = "will have " + obj.past
}
return obj
}
var main = function (w) {
if (w === undefined) {
return {}
}
//for phrasal verbs ('look out'), conjugate look, then append 'out'
var phrasal_reg = new RegExp("^(.*?) (in|out|on|off|behind|way|with|of|do|away|across|ahead|back|over|under|together|apart|up|upon|aback|down|about|before|after|around|to|forth|round|through|along|onto)$", 'i')
if (w.match(' ') && w.match(phrasal_reg)) {
var split = w.match(phrasal_reg, '')
var phrasal_verb = split[1]
var particle = split[2]
var result = main(phrasal_verb) //recursive
delete result["doer"]
Object.keys(result).forEach(function (k) {
if (result[k]) {
result[k] += " " + particle
}
})
return result
}
//for pluperfect ('had tried') remove 'had' and call it past-tense
if (w.match(/^had [a-z]/i)) {
w = w.replace(/^had /i, '')
}
//for perfect ('have tried') remove 'have' and call it past-tense
if (w.match(/^have [a-z]/i)) {
w = w.replace(/^have /i, '')
}
//for future perfect ('will have tried') remove 'will have' and call it past-tense
if (w.match(/^will have [a-z]/i)) {
w = w.replace(/^will have /i, '')
}
//chop it if it's future-tense
w = w.replace(/^will /i, '')
//un-prefix the verb, and add it in later
var prefix = (w.match(/^(over|under|re|anti|full)\-?/i) || [])[0]
var verb = w.replace(/^(over|under|re|anti|full)\-?/i, '')
//check irregulars
var obj = {};
var l = verb_irregulars.length
var x, i;
for (i = 0; i < l; i++) {
x = verb_irregulars[i]
if (verb === x.present || verb === x.gerund || verb === x.past || verb === x.infinitive) {
obj = JSON.parse(JSON.stringify(verb_irregulars[i])); // object 'clone' hack, to avoid mem leak
return fufill(obj, prefix)
}
}
//guess the tense, so we know which transormation to make
var predicted = predict(w) || 'infinitive'
//check against suffix rules
l = verb_rules[predicted].length
var r, keys;
for (i = 0; i < l; i++) {
r = verb_rules[predicted][i];
if (w.match(r.reg)) {
obj[predicted] = w;
keys= Object.keys(r.repl)
for(var o=0; o<keys.length; o++){
if (keys[o] === predicted) {
obj[keys[o]] = w
} else {
obj[keys[o]] = w.replace(r.reg, r.repl[keys[o]])
}
}
return fufill(obj);
}
}
//produce a generic transformation
return fallback(w)
};
module.exports = main;
// console.log(module.exports("walking"))
// console.log(module.exports("overtook"))
// console.log(module.exports("watch out"))
// console.log(module.exports("watch"))
// console.log(module.exports("smash"))
// console.log(module.exports("word"))
// // broken
// console.log(module.exports("read"))
// console.log(module.exports("free"))
// console.log(module.exports("flesh"))
// console.log(module.exports("branch"))
// console.log(module.exports("spred"))
// console.log(module.exports("bog"))
// console.log(module.exports("nod"))
// console.log(module.exports("had tried"))
// console.log(module.exports("have tried"))
},{"./suffix_rules":40,"./to_doer":41,"./verb_irregulars":42,"./verb_rules":43}],40:[function(require,module,exports){
//generated from test data
var compact = {
"gerund": [
"ing"
],
"infinitive": [
"ate",
"ize",
"tion",
"rify",
"ress",
"ify",
"age",
"nce",
"ect",
"ise",
"ine",
"ish",
"ace",
"ash",
"ure",
"tch",
"end",
"ack",
"and",
"ute",
"ade",
"ock",
"ite",
"ase",
"ose",
"use",
"ive",
"int",
"nge",
"lay",
"est",
"ain",
"ant",
"eed",
"er",
"le"
],
"past": [
"ed",
"lt",
"nt",
"pt",
"ew",
"ld"
],
"present": [
"rks",
"cks",
"nks",
"ngs",
"mps",
"tes",
"zes",
"ers",
"les",
"acks",
"ends",
"ands",
"ocks",
"lays",
"eads",
"lls",
"els",
"ils",
"ows",
"nds",
"ays",
"ams",
"ars",
"ops",
"ffs",
"als",
"urs",
"lds",
"ews",
"ips",
"es",
"ts",
"ns",
"s"
]
}
var suffix_rules = {}
var keys = Object.keys(compact)
var l = keys.length;
var l2, i;
for (i = 0; i < l; i++) {
l2 = compact[keys[i]].length
for (var o = 0; o < l2; o++) {
suffix_rules[compact[keys[i]][o]] = keys[i]
}
}
module.exports = suffix_rules;
},{}],41:[function(require,module,exports){
//somone who does this present-tense verb
//turn 'walk' into 'walker'
module.exports = function (str) {
str = str || ''
var irregulars = {
"tie": "tier",
"dream": "dreamer",
"sail": "sailer",
"run": "runner",
"rub": "rubber",
"begin": "beginner",
"win": "winner",
"claim": "claimant",
"deal": "dealer",
"spin": "spinner"
}
var dont = {
"aid": 1,
"fail": 1,
"appear": 1,
"happen": 1,
"seem": 1,
"try": 1,
"say": 1,
"marry": 1,
"be": 1,
"forbid": 1,
"understand": 1,
"bet": 1
}
var transforms = [{
"reg": /e$/i,
"repl": 'er'
}, {
"reg": /([aeiou])([mlgp])$/i,
"repl": '$1$2$2er'
}, {
"reg": /([rlf])y$/i,
"repl": '$1ier'
}, {
"reg": /^(.?.[aeiou])t$/i,
"repl": '$1tter'
}]
if (dont.hasOwnProperty(str)) {
return null
}
if (irregulars.hasOwnProperty(str)) {
return irregulars[str]
}
for (var i = 0; i < transforms.length; i++) {
if (str.match(transforms[i].reg)) {
return str.replace(transforms[i].reg, transforms[i].repl)
}
}
return str + "er"
}
// console.log(verb_to_doer('set'))
// console.log(verb_to_doer('sweep'))
// console.log(verb_to_doer('watch'))
},{}],42:[function(require,module,exports){
var types = [
'infinitive',
'gerund',
'past',
'present',
'doer',
'future'
]
//list of verb irregular verb forms, compacted to save space. ('_' -> infinitive )
var compact = [
[
"arise",
"arising",
"arose",
"_s",
"_r"
],
[
"babysit",
"_ting",
"babysat",
"_s",
"_ter"
],
[
"be",
"_ing",
"was",
"is",
""
],
[
"beat",
"_ing",
"_",
"_s",
"_er"
],
[
"become",
"becoming",
"became",
"_s",
"_r"
],
[
"bend",
"_ing",
"bent",
"_s",
"_er"
],
[
"begin",
"_ning",
"began",
"_s",
"_ner"
],
[
"bet",
"_ting",
"_",
"_s",
"_ter"
],
[
"bind",
"_ing",
"bound",
"_s",
"_er"
],
[
"bite",
"biting",
"bit",
"_s",
"_r"
],
[
"bleed",
"_ing",
"bled",
"_s",
"_er"
],
[
"blow",
"_ing",
"blew",
"_s",
"_er"
],
[
"break",
"_ing",
"broke",
"_s",
"_er"
],
[
"breed",
"_ing",
"bred",
"_s",
"_er"
],
[
"bring",
"_ing",
"brought",
"_s",
"_er"
],
[
"broadcast",
"_ing",
"_",
"_s",
"_er"
],
[
"build",
"_ing",
"built",
"_s",
"_er"
],
[
"buy",
"_ing",
"bought",
"_s",
"_er"
],
[
"catch",
"_ing",
"caught",
"_es",
"_er"
],
[
"choose",
"choosing",
"chose",
"_s",
"_r"
],
[
"come",
"coming",
"came",
"_s",
"_r"
],
[
"cost",
"_ing",
"_",
"_s",
"_er"
],
[
"cut",
"_ting",
"_",
"_s",
"_ter"
],
[
"deal",
"_ing",
"_t",
"_s",
"_er"
],
[
"dig",
"_ging",
"dug",
"_s",
"_ger"
],
[
"do",
"_ing",
"did",
"_es",
"_er"
],
[
"draw",
"_ing",
"drew",
"_s",
"_er"
],
[
"drink",
"_ing",
"drank",
"_s",
"_er"
],
[
"drive",
"driving",
"drove",
"_s",
"_r"
],
[
"eat",
"_ing",
"ate",
"_s",
"_er"
],
[
"fall",
"_ing",
"fell",
"_s",
"_er"
],
[
"feed",
"_ing",
"fed",
"_s",
"_er"
],
[
"feel",
"_ing",
"felt",
"_s",
"_er"
],
[
"fight",
"_ing",
"fought",
"_s",
"_er"
],
[
"find",
"_ing",
"found",
"_s",
"_er"
],
[
"fly",
"_ing",
"flew",
"_s",
"flier"
],
[
"forbid",
"_ing",
"forbade",
"_s",
],
[
"forget",
"_ing",
"forgot",
"_s",
"_er"
],
[
"forgive",
"forgiving",
"forgave",
"_s",
"_r"
],
[
"freeze",
"freezing",
"froze",
"_s",
"_r"
],
[
"get",
"_ting",
"got",
"_s",
"_ter"
],
[
"give",
"giving",
"gave",
"_s",
"_r"
],
[
"go",
"_ing",
"went",
"_es",
"_er"
],
[
"grow",
"_ing",
"grew",
"_s",
"_er"
],
[
"hang",
"_ing",
"hung",
"_s",
"_er"
],
[
"have",
"having",
"had",
"has",
],
[
"hear",
"_ing",
"_d",
"_s",
"_er"
],
[
"hide",
"hiding",
"hid",
"_s",
"_r"
],
[
"hit",
"_ting",
"_",
"_s",
"_ter"
],
[
"hold",
"_ing",
"held",
"_s",
"_er"
],
[
"hurt",
"_ing",
"_",
"_s",
"_er"
],
[
"know",
"_ing",
"knew",
"_s",
"_er"
],
[
"relay",
"_ing",
"_ed",
"_s",
"_er"
],
[
"lay",
"_ing",
"laid",
"_s",
"_er"
],
[
"lead",
"_ing",
"led",
"_s",
"_er"
],
[
"leave",
"leaving",
"left",
"_s",
"_r"
],
[
"lend",
"_ing",
"lent",
"_s",
"_er"
],
[
"let",
"_ting",
"_",
"_s",
"_ter"
],
[
"lie",
"lying",
"lay",
"_s",
"_r"
],
[
"light",
"_ing",
"lit",
"_s",
"_er"
],
[
"lose",
"losing",
"lost",
"_s",
"_r"
],
[
"make",
"making",
"made",
"_s",
"_r"
],
[
"mean",
"_ing",
"_t",
"_s",
"_er"
],
[
"meet",
"_ing",
"met",
"_s",
"_er"
],
[
"pay",
"_ing",
"paid",
"_s",
"_er"
],
[
"put",
"_ting",
"_",
"_s",
"_ter"
],
[
"quit",
"_ting",
"_",
"_s",
"_ter"
],
[
"read",
"_ing",
"_",
"_s",
"_er"
],
[
"ride",
"riding",
"rode",
"_s",
"_r"
],
[
"ring",
"_ing",
"rang",
"_s",
"_er"
],
[
"rise",
"rising",
"rose",
"_s",
"_r"
],
[
"run",
"_ning",
"ran",
"_s",
"_ner"
],
[
"say",
"_ing",
"said",
"_s",
],
[
"see",
"_ing",
"saw",
"_s",
"_r"
],
[
"sell",
"_ing",
"sold",
"_s",
"_er"
],
[
"send",
"_ing",
"sent",
"_s",
"_er"
],
[
"set",
"_ting",
"_",
"_s",
"_ter"
],
[
"shake",
"shaking",
"shook",
"_s",
"_r"
],
[
"shine",
"shining",
"shone",
"_s",
"_r"
],
[
"shoot",
"_ing",
"shot",
"_s",
"_er"
],
[
"show",
"_ing",
"_ed",
"_s",
"_er"
],
[
"shut",
"_ting",
"_",
"_s",
"_ter"
],
[
"sing",
"_ing",
"sang",
"_s",
"_er"
],
[
"sink",
"_ing",
"sank",
"_s",
"_er"
],
[
"sit",
"_ting",
"sat",
"_s",
"_ter"
],
[
"slide",
"sliding",
"slid",
"_s",
"_r"
],
[
"speak",
"_ing",
"spoke",
"_s",
"_er"
],
[
"spend",
"_ing",
"spent",
"_s",
"_er"
],
[
"spin",
"_ning",
"spun",
"_s",
"_ner"
],
[
"spread",
"_ing",
"_",
"_s",
"_er"
],
[
"stand",
"_ing",
"stood",
"_s",
"_er"
],
[
"steal",
"_ing",
"stole",
"_s",
"_er"
],
[
"stick",
"_ing",
"stuck",
"_s",
"_er"
],
[
"sting",
"_ing",
"stung",
"_s",
"_er"
],
[
"strike",
"striking",
"struck",
"_s",
"_r"
],
[
"swear",
"_ing",
"swore",
"_s",
"_er"
],
[
"swim",
"_ing",
"swam",
"_s",
"_mer"
],
[
"swing",
"_ing",
"swung",
"_s",
"_er"
],
[
"take",
"taking",
"took",
"_s",
"_r"
],
[
"teach",
"_ing",
"taught",
"_s",
"_er"
],
[
"tear",
"_ing",
"tore",
"_s",
"_er"
],
[
"tell",
"_ing",
"told",
"_s",
"_er"
],
[
"think",
"_ing",
"thought",
"_s",
"_er"
],
[
"throw",
"_ing",
"threw",
"_s",
"_er"
],
[
"understand",
"_ing",
"understood",
"_s",
],
[
"wake",
"waking",
"woke",
"_s",
"_r"
],
[
"wear",
"_ing",
"wore",
"_s",
"_er"
],
[
"win",
"_ning",
"won",
"_s",
"_ner"
],
[
"withdraw",
"_ing",
"withdrew",
"_s",
"_er"
],
[
"write",
"writing",
"wrote",
"_s",
"_r"
],
[
"tie",
"tying",
"_d",
"_s",
"_r"
],
[
"obey",
"_ing",
"_ed",
"_s",
"_er"
],
[
"ski",
"_ing",
"_ied",
"_s",
"_er"
],
[
"boil",
"_ing",
"_ed",
"_s",
"_er"
],
[
"miss",
"_ing",
"_ed",
"_",
"_er"
],
[
"act",
"_ing",
"_ed",
"_s",
"_or"
],
[
"compete",
"competing",
"_d",
"_s",
"competitor"
],
[
"being",
"are",
"were",
"are",
],
[
"imply",
"_ing",
"implied",
"implies",
"implier"
],
[
"ice",
"icing",
"_d",
"_s",
"_r"
],
[
"develop",
"_ing",
"_",
"_s",
"_er"
],
[
"wait",
"_ing",
"_ed",
"_s",
"_er"
],
[
"aim",
"_ing",
"_ed",
"_s",
"_er"
],
[
"spill",
"_ing",
"spilt",
"_s",
"_er"
],
[
"drop",
"_ping",
"_ped",
"_s",
"_per"
],
[
"head",
"_ing",
"_ed",
"_s",
"_er"
],
[
"log",
"_ging",
"_ged",
"_s",
"_ger"
],
[
"rub",
"_bing",
"_bed",
"_s",
"_ber"
],
[
"smash",
"_ing",
"_ed",
"_es",
"_er"
],
[
"add",
"_ing",
"_ed",
"_s",
"_er"
],
[
"word",
"_ing",
"_ed",
"_s",
"_er"
],
[
"suit",
"_ing",
"_ed",
"_s",
"_er"
],
[
"be",
"am",
"was",
"am",
""
]
]
//expand compact version out
module.exports = compact.map(function (arr) {
var obj = {}
for (var i = 0; i < arr.length; i++) {
obj[types[i]] = arr[i].replace(/_/, arr[0])
}
return obj
})
// console.log(JSON.stringify(verb_irregulars, null, 2));
},{}],43:[function(require,module,exports){
// regex rules for each part of speech that convert it to all other parts of speech.
// used in combination with the generic 'fallback' method
var verb_rules = {
"infinitive": [
[
"(eed)$",
{
"pr": "$1s",
"g": "$1ing",
"pa": "$1ed",
"do": "$1er"
}
],
[
"(e)(ep)$",
{
"pr": "$1$2s",
"g": "$1$2ing",
"pa": "$1pt",
"do": "$1$2er"
}
],
[
"(a[tg]|i[zn]|ur|nc|gl|is)e$",
{
"pr": "$1es",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"([i|f|rr])y$",
{
"pr": "$1ies",
"g": "$1ying",
"pa": "$1ied"
}
],
[
"([td]er)$",
{
"pr": "$1s",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"([bd]l)e$",
{
"pr": "$1es",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"(ish|tch|ess)$",
{
"pr": "$1es",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"(ion|end|e[nc]t)$",
{
"pr": "$1s",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"(om)e$",
{
"pr": "$1es",
"g": "$1ing",
"pa": "ame"
}
],
[
"([aeiu])([pt])$",
{
"pr": "$1$2s",
"g": "$1$2$2ing",
"pa": "$1$2"
}
],
[
"(er)$",
{
"pr": "$1s",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"(en)$",
{
"pr": "$1s",
"g": "$1ing",
"pa": "$1ed"
}
]
],
"present": [
[
"(ies)$",
{
"in": "y",
"g": "ying",
"pa": "ied"
}
],
[
"(tch|sh)es$",
{
"in": "$1",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"(ss)es$",
{
"in": "$1",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"([tzlshicgrvdnkmu])es$",
{
"in": "$1e",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"(n[dtk]|c[kt]|[eo]n|i[nl]|er|a[ytrl])s$",
{
"in": "$1",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"(ow)s$",
{
"in": "$1",
"g": "$1ing",
"pa": "ew"
}
],
[
"(op)s$",
{
"in": "$1",
"g": "$1ping",
"pa": "$1ped"
}
],
[
"([eirs])ts$",
{
"in": "$1t",
"g": "$1tting",
"pa": "$1tted"
}
],
[
"(ll)s$",
{
"in": "$1",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"(el)s$",
{
"in": "$1",
"g": "$1ling",
"pa": "$1led"
}
],
[
"(ip)es$",
{
"in": "$1e",
"g": "$1ing",
"pa": "$1ed"
}
],
[
"ss$",
{
"in": "ss",
"g": "ssing",
"pa": "ssed"
}
],
[
"s$",
{
"in": "",
"g": "ing",
"pa": "ed"
}
]
],
"gerund": [
[
"pping$",
{
"in": "p",
"pr": "ps",
"pa": "pped"
}
],
[
"lling$",
{
"in": "ll",
"pr": "lls",
"pa": "lled"
}
],
[
"tting$",
{
"in": "t",
"pr": "ts",
"pa": "t"
}
],
[
"ssing$",
{
"in": "ss",
"pr": "sses",
"pa": "ssed"
}
],
[
"gging$",
{
"in": "g",
"pr": "gs",
"pa": "gged"
}
],
[
"([^aeiou])ying$",
{
"in": "$1y",
"pr": "$1ies",
"pa": "$1ied",
"do": "$1ier"
}
],
[
"(i.)ing$",
{
"in": "$1e",
"pr": "$1es",
"pa": "$1ed"
}
],
[
"(u[rtcb]|[bdtpkg]l|n[cg]|a[gdkvtc]|[ua]s|[dr]g|yz|o[rlsp]|cre)ing$",
{
"in": "$1e",
"pr": "$1es",
"pa": "$1ed"
}
],
[
"(ch|sh)ing$",
{
"in": "$1",
"pr": "$1es",
"pa": "$1ed"
}
],
[
"(..)ing$",
{
"in": "$1",
"pr": "$1s",
"pa": "$1ed"
}
]
],
"past": [
[
"(ued)$",
{
"pr": "ues",
"g": "uing",
"pa": "ued",
"do": "uer"
}
],
[
"(e|i)lled$",
{
"pr": "$1lls",
"g": "$1lling",
"pa": "$1lled",
"do": "$1ller"
}
],
[
"(sh|ch)ed$",
{
"in": "$1",
"pr": "$1es",
"g": "$1ing",
"do": "$1er"
}
],
[
"(tl|gl)ed$",
{
"in": "$1e",
"pr": "$1es",
"g": "$1ing",
"do": "$1er"
}
],
[
"(ss)ed$",
{
"in": "$1",
"pr": "$1es",
"g": "$1ing",
"do": "$1er"
}
],
[
"pped$",
{
"in": "p",
"pr": "ps",
"g": "pping",
"do": "pper"
}
],
[
"tted$",
{
"in": "t",
"pr": "ts",
"g": "tting",
"do": "tter"
}
],
[
"gged$",
{
"in": "g",
"pr": "gs",
"g": "gging",
"do": "gger"
}
],
[
"(h|ion|n[dt]|ai.|[cs]t|pp|all|ss|tt|int|ail|ld|en|oo.|er|k|pp|w|ou.|rt|ght|rm)ed$",
{
"in": "$1",
"pr": "$1s",
"g": "$1ing",
"do": "$1er"
}
],
[
"(..[^aeiou])ed$",
{
"in": "$1e",
"pr": "$1es",
"g": "$1ing",
"do": "$1er"
}
],
[
"ied$",
{
"in": "y",
"pr": "ies",
"g": "ying",
"do": "ier"
}
],
[
"(.o)ed$",
{
"in": "$1o",
"pr": "$1os",
"g": "$1oing",
"do": "$1oer"
}
],
[
"(.i)ed$",
{
"in": "$1",
"pr": "$1s",
"g": "$1ing",
"do": "$1er"
}
],
[
"([rl])ew$",
{
"in": "$1ow",
"pr": "$1ows",
"g": "$1owing"
}
],
[
"([pl])t$",
{
"in": "$1t",
"pr": "$1ts",
"g": "$1ting"
}
]
]
}
//unpack compressed form
verb_rules=Object.keys(verb_rules).reduce(function(h,k){
h[k]=verb_rules[k].map(function(a){
var obj={
reg:new RegExp(a[0],"i"),
repl:{
infinitive:a[1]["in"],
present:a[1]["pr"],
past:a[1]["pa"],
gerund:a[1]["g"]
}
}
if(a[1]["do"]){
obj.repl.doer=a[1]["do"]
}
return obj
})
return h
},{})
module.exports = verb_rules;
// console.log(JSON.stringify(verb_rules, null, 2));
},{}],44:[function(require,module,exports){
//wrapper for verb's methods
var Verb = function (str, sentence, word_i) {
var the = this
var token, next;
if (sentence !== undefined && word_i !== undefined) {
token = sentence.tokens[word_i]
next = sentence.tokens[word_i + i]
}
the.word = str || '';
var verb_conjugate = require("./conjugate/conjugate")
var parts_of_speech = require("../../data/parts_of_speech")
var copulas = {
"is": "CP",
"will be": "CP",
"will": "CP",
"are": "CP",
"was": "CP",
"were": "CP"
}
var modals = {
"can": "MD",
"may": "MD",
"could": "MD",
"might": "MD",
"will": "MD",
"ought to": "MD",
"would": "MD",
"must": "MD",
"shall": "MD",
"should": "MD"
}
var tenses = {
past: "VBD",
participle: "VBN",
infinitive: "VBP",
present: "VBZ",
gerund: "VBG"
}
the.conjugate = function () {
return verb_conjugate(the.word)
}
the.to_past = function () {
if (the.form === "gerund") {
return the.word
}
return verb_conjugate(the.word).past
}
the.to_present = function () {
return verb_conjugate(the.word).present
}
the.to_future = function () {
return "will " + verb_conjugate(the.word).infinitive
}
//which conjugation
the.form = (function () {
//don't choose infinitive if infinitive==present
var order = [
"past",
"present",
"gerund",
"infinitive"
]
var forms = verb_conjugate(the.word)
for (var i = 0; i < order.length; i++) {
if (forms[order[i]] === the.word) {
return order[i]
}
}
})()
//past/present/future //wahh?!
the.tense = (function () {
if (the.word.match(/\bwill\b/)) {
return "future"
}
if (the.form === "present") {
return "present"
}
if (the.form === "past") {
return "past"
}
return "present"
})()
//the most accurate part_of_speech
the.which = (function () {
if (copulas[the.word]) {
return parts_of_speech['CP']
}
if (the.word.match(/([aeiou][^aeiouwyrlm])ing$/)) {
return parts_of_speech['VBG']
}
var form = the.form
return parts_of_speech[tenses[form]]
})()
//is this verb negative already?
the.negative = function () {
if (the.word.match(/n't$/)) {
return true
}
if ((modals[the.word] || copulas[the.word]) && next && next.normalised === "not") {
return true
}
return false
}
return the;
}
module.exports = Verb;
// console.log(new Verb("will"))
// console.log(new Verb("stalking").tense)
},{"../../data/parts_of_speech":14,"./conjugate/conjugate":39}],45:[function(require,module,exports){
var lexicon = require("./data/lexicon")
var values = require("./data/lexicon/values")
var tokenize = require("./methods/tokenization/tokenize");
var parts_of_speech = require("./data/parts_of_speech")
var word_rules = require("./data/word_rules")
var wordnet_suffixes = require("./data/unambiguous_suffixes")
var Sentence = require("./sentence")
var Section = require("./section")
var parents = require("./parents/parents")
//possible 2nd part in a phrasal verb
var particles = ["in", "out", "on", "off", "behind", "way", "with", "of", "do", "away", "across", "ahead", "back", "over", "under", "together", "apart", "up", "upon", "aback", "down", "about", "before", "after", "around", "to", "forth", "round", "through", "along", "onto"]
particles = particles.reduce(function (h, s) {
h[s] = true
return h
}, {})
var merge_tokens = function (a, b) {
a.text += " " + b.text
a.normalised += " " + b.normalised
a.pos_reason += "|" + b.pos_reason
a.start = a.start || b.start
a.noun_capital = (a.noun_capital && b.noun_capital)
a.punctuated = a.punctuated || b.punctuated
a.end = a.end || b.end
return a
}
//combine adjacent neighbours, and special cases
var combine_tags = function (sentence) {
var arr = sentence.tokens || []
for (var i = 0; i <= arr.length; i++) {
var next = arr[i + 1]
if (arr[i] && next) {
var tag = arr[i].pos.tag
//'joe smith' are both NN, for example
if (tag === next.pos.tag && arr[i].punctuated !== true && arr[i].noun_capital == next.noun_capital) {
arr[i + 1] = merge_tokens(arr[i], arr[i + 1])
arr[i] = null
}
//merge NNP and NN, like firstname, lastname
else if ((tag === "NNP" && next.pos.tag === "NN") || (tag === "NN" && next.pos.tag === "NNP")) {
arr[i + 1] = merge_tokens(arr[i], arr[i + 1])
arr[i] = null
arr[i + 1].pos = parts_of_speech['NNP']
}
//merge dates manually, which often have punctuation
else if (tag === "CD" && next.pos.tag === "CD") {
arr[i + 1] = merge_tokens(arr[i], arr[i + 1])
arr[i] = null
}
//merge abbreviations with nouns manually, eg. "Joe jr."
else if ((tag === "NNAB" && next.pos.parent === "noun") || (arr[i].pos.parent === "noun" && next.pos.tag === "NNAB")) {
arr[i + 1] = merge_tokens(arr[i], arr[i + 1])
arr[i] = null
}
//'will walk' -> future-tense verb
else if (arr[i].normalised === "will" && next.pos.parent === "verb") {
arr[i + 1] = merge_tokens(arr[i], arr[i + 1])
arr[i] = null
}
//'hundred and fifty', 'march the 5th'
else if (tag === "CD" && (next.normalised === "and" || next.normalised === "the") && arr[i + 2] && arr[i + 2].pos.tag === "CD") {
arr[i + 1] = merge_tokens(arr[i], arr[i + 1])
arr[i] = null
}
//capitals surrounding a preposition 'United States of America'
else if (tag == "NN" && arr[i].noun_capital && (next.normalised == "of" || next.normalised == "and") && arr[i + 2] && arr[i + 2].noun_capital) {
arr[i + 1] = merge_tokens(arr[i], arr[i + 1])
arr[i] = null
arr[i + 2] = merge_tokens(arr[i + 1], arr[i + 2])
arr[i + 1] = null
}
//capitals surrounding two prepositions 'Phantom of the Opera'
else if (arr[i].noun_capital && next.normalised == "of" && arr[i + 2] && arr[i + 2].pos.tag == "DT" && arr[i + 3] && arr[i + 3].noun_capital) {
arr[i + 1] = merge_tokens(arr[i], arr[i + 1])
arr[i] = null
arr[i + 2] = merge_tokens(arr[i + 1], arr[i + 2])
arr[i + 1] = null
arr[i + 3] = merge_tokens(arr[i + 2], arr[i + 3])
arr[i + 2] = null
}
}
}
sentence.tokens = arr.filter(function (r) {
return r
})
return sentence
}
//some prepositions are clumped onto the back of a verb "looked for", "looks at"
//they should be combined with the verb, sometimes.
//does not handle seperated phrasal verbs ('take the coat off' -> 'take off')
var combine_phrasal_verbs = function (sentence) {
var arr = sentence.tokens || []
for (var i = 1; i < arr.length; i++) {
if (particles[arr[i].normalised]) {
//it matches a known phrasal-verb
if (lexicon[arr[i - 1].normalised + " " + arr[i].normalised]) {
// console.log(arr[i-1].normalised + " " + arr[i].normalised)
arr[i] = merge_tokens(arr[i - 1], arr[i])
arr[i - 1] = null
}
}
}
sentence.tokens = arr.filter(function (r) {
return r
})
return sentence
}
var lexicon_pass = function (w) {
if (lexicon.hasOwnProperty(w)) {
return parts_of_speech[lexicon[w]]
}
//try to match it without a prefix - eg. outworked -> worked
if (w.match(/^(over|under|out|-|un|re|en).{4}/)) {
var attempt = w.replace(/^(over|under|out|.*?-|un|re|en)/, '')
return parts_of_speech[lexicon[attempt]]
}
}
var rules_pass = function (w) {
for (var i = 0; i < word_rules.length; i++) {
if (w.length > 4 && w.match(word_rules[i].reg)) {
return parts_of_speech[word_rules[i].pos]
}
}
}
var fourth_pass = function (token, i, sentence) {
var last = sentence.tokens[i - 1]
var next = sentence.tokens[i + 1]
var strong_determiners = {
"the": 1,
"a": 1,
"an": 1
}
//resolve ambiguous 'march','april','may' with dates
if ((token.normalised == "march" || token.normalised == "april" || token.normalised == "may") && ((next && next.pos.tag == "CD") || (last && last.pos.tag == "CD"))) {
token.pos = parts_of_speech['CD']
token.pos_reason = "may_is_date"
}
//if it's before a modal verb, it's a noun -> lkjsdf would
if (next && token.pos.parent !== "noun" && token.pos.parent !== "glue" && next.pos.tag === "MD") {
token.pos = parts_of_speech['NN']
token.pos_reason = "before_modal"
}
//if it's after the word 'will' its probably a verb/adverb
if (last && last.normalised == "will" && !last.punctuated && token.pos.parent == "noun" && token.pos.tag !== "PRP" && token.pos.tag !== "PP") {
token.pos = parts_of_speech['VB']
token.pos_reason = "after_will"
}
//if it's after the word 'i' its probably a verb/adverb
if (last && last.normalised == "i" && !last.punctuated && token.pos.parent == "noun") {
token.pos = parts_of_speech['VB']
token.pos_reason = "after_i"
}
//if it's after an adverb, it's not a noun -> quickly acked
//support form 'atleast he is..'
if (last && token.pos.parent === "noun" && token.pos.tag !== "PRP" && token.pos.tag !== "PP" && last.pos.tag === "RB" && !last.start) {
token.pos = parts_of_speech['VB']
token.pos_reason = "after_adverb"
}
//no consecutive, unpunctuated adjectives -> real good
if (next && token.pos.parent === "adjective" && next.pos.parent === "adjective" && !token.punctuated) {
token.pos = parts_of_speech['RB']
token.pos_reason = "consecutive_adjectives"
}
//if it's after a determiner, it's not a verb -> the walk
if (last && token.pos.parent === "verb" && strong_determiners[last.pos.normalised] && token.pos.tag != "CP") {
token.pos = parts_of_speech['NN']
token.pos_reason = "determiner-verb"
}
//copulas are followed by a determiner ("are a .."), or an adjective ("are good")
if (last && last.pos.tag === "CP" && token.pos.tag !== "DT" && token.pos.tag !== "RB" && token.pos.tag !== "PRP" && token.pos.parent !== "adjective" && token.pos.parent !== "value") {
token.pos = parts_of_speech['JJ']
token.pos_reason = "copula-adjective"
}
//copula, adverb, verb -> copula adverb adjective -> is very lkjsdf
if (last && next && last.pos.tag === "CP" && token.pos.tag === "RB" && next.pos.parent === "verb") {
sentence.tokens[i + 1].pos = parts_of_speech['JJ']
sentence.tokens[i + 1].pos_reason = "copula-adverb-adjective"
}
// the city [verb] him.
if (next && next.pos.tag == "PRP" && token.pos.tag !== "PP" && token.pos.parent == "noun" && !token.punctuated) {
token.pos = parts_of_speech['VB']
token.pos_reason = "before_[him|her|it]"
}
//the misled worker -> misled is an adjective, not vb
if (last && next && last.pos.tag === "DT" && next.pos.parent === "noun" && token.pos.parent === "verb") {
token.pos = parts_of_speech['JJ']
token.pos_reason = "determiner-adjective-noun"
}
//where's he gone -> gone=VB, not JJ
if (last && last.pos.tag === "PRP" && token.pos.tag === "JJ") {
token.pos = parts_of_speech['VB']
token.pos_reason = "adjective-after-pronoun"
}
return token
}
//add a 'quiet' token for contractions so we can represent their grammar
var handle_contractions = function (arr) {
var contractions = {
"i'd": ["i", "would"],
"she'd": ["she", "would"],
"he'd": ["he", "would"],
"they'd": ["they", "would"],
"we'd": ["we", "would"],
"i'll": ["i", "will"],
"she'll": ["she", "will"],
"he'll": ["he", "will"],
"they'll": ["they", "will"],
"we'll": ["we", "will"],
"i've": ["i", "have"],
"they've": ["they", "have"],
"we've": ["we", "have"],
"should've": ["should", "have"],
"would've": ["would", "have"],
"could've": ["could", "have"],
"must've": ["must", "have"],
"i'm": ["i", "am"],
"we're": ["we", "are"],
"they're": ["they", "are"],
"cannot": ["can", "not"]
}
var before, after, fix;
for (var i = 0; i < arr.length; i++) {
if (contractions.hasOwnProperty(arr[i].normalised)) {
before = arr.slice(0, i)
after = arr.slice(i + 1, arr.length)
fix = [{
text: arr[i].text,
normalised: contractions[arr[i].normalised][0],
start: arr[i].start
}, {
text: "",
normalised: contractions[arr[i].normalised][1],
start: undefined
}]
arr = before.concat(fix)
arr = arr.concat(after)
return handle_contractions(arr) //recursive
}
}
return arr
}
//these contractions require (some) grammatical knowledge to disambig properly (e.g "he's"=> ['he is', 'he was']
var handle_ambiguous_contractions = function (arr) {
var ambiguous_contractions = {
"he's": "he",
"she's": "she",
"it's": "it",
"who's": "who",
"what's": "what",
"where's": "where",
"when's": "when",
"why's": "why",
"how's": "how"
}
var before, after, fix;
for (var i = 0; i < arr.length; i++) {
if (ambiguous_contractions.hasOwnProperty(arr[i].normalised)) {
before = arr.slice(0, i)
after = arr.slice(i + 1, arr.length)
//choose which verb this contraction should have..
var chosen = "is"
//look for the next verb, and if it's past-tense (he's walked -> he has walked)
for (var o = i + 1; o < arr.length; o++) {
if (arr[o] && arr[o].pos && arr[o].pos.tag == "VBD") { //past tense
chosen = "has"
break
}
}
fix = [{
text: arr[i].text,
normalised: ambiguous_contractions[arr[i].normalised], //the "he" part
start: arr[i].start,
pos: parts_of_speech[lexicon[ambiguous_contractions[arr[i].normalised]]],
pos_reason: "ambiguous_contraction"
}, {
text: "",
normalised: chosen, //is,was,or have
start: undefined,
pos: parts_of_speech[lexicon[chosen]],
pos_reason: "silent_contraction"
}]
arr = before.concat(fix)
arr = arr.concat(after)
return handle_ambiguous_contractions(arr) //recursive
}
}
return arr
}
////////////////
///party-time//
var main = function (text, options) {
options = options || {}
if (!text || !text.match(/[a-z0-9]/i)) {
return new Section([])
}
var sentences = tokenize(text);
sentences.forEach(function (sentence) {
//first, let's handle the capitalisation-of-the-first-word issue
var first = sentence.tokens[0]
if (first) {
//if second word is a noun-capital, give more sympathy to this capital
if (sentence.tokens[1] && sentence.tokens[1].noun_capital && !lexicon_pass(first.normalised)) {
sentence.tokens[0].noun_capital = true;
}
}
//smart handling of contractions
sentence.tokens = handle_contractions(sentence.tokens)
//first pass, word-level clues
sentence.tokens = sentence.tokens.map(function (token) {
//it has a capital and isn't a month, etc.
if (token.noun_capital && !values[token.normalised]) {
token.pos = parts_of_speech['NN']
token.pos_reason = "noun_capitalised"
return token
}
//known words list
var lex = lexicon_pass(token.normalised)
if (lex) {
token.pos = lex;
token.pos_reason = "lexicon"
//if it's an abbreviation, forgive the punctuation (eg. 'dr.')
if (token.pos.tag === "NNAB") {
token.punctuated = false
}
return token
}
//handle punctuation like ' -- '
if (!token.normalised) {
token.pos = parts_of_speech['UH']
token.pos_reason = "wordless_string"
return token
}
// suffix pos signals from wordnet
var len = token.normalised.length
if (len > 4) {
var suffix = token.normalised.substr(len - 4, len - 1)
if (wordnet_suffixes.hasOwnProperty(suffix)) {
token.pos = parts_of_speech[wordnet_suffixes[suffix]]
token.pos_reason = "wordnet suffix"
return token
}
}
// suffix regexes for words
var r = rules_pass(token.normalised);
if (r) {
token.pos = r;
token.pos_reason = "regex suffix"
return token
}
//see if it's a number
if (parseFloat(token.normalised)) {
token.pos = parts_of_speech['CD']
token.pos_reason = "parsefloat"
return token
}
return token
})
//second pass, wrangle results a bit
sentence.tokens = sentence.tokens.map(function (token, i) {
//set ambiguous 'ed' endings as either verb/adjective
if (token.pos_reason !== "lexicon" && token.normalised.match(/.ed$/)) {
token.pos = parts_of_speech['VB']
token.pos_reason = "ed"
}
return token
})
//split-out more difficult contractions, like "he's"->["he is", "he was"]
// (now that we have enough pos data to do this)
sentence.tokens = handle_ambiguous_contractions(sentence.tokens)
//third pass, seek verb or noun phrases after their signals
var need = null
var reason = ''
sentence.tokens = sentence.tokens.map(function (token, i) {
var next = sentence.tokens[i + 1]
if (token.pos) {
//suggest noun after some determiners (a|the), posessive pronouns (her|my|its)
if (token.normalised == "the" || token.normalised == "a" || token.normalised == "an" || token.pos.tag === "PP") {
need = 'noun'
reason = token.pos.name
return token //proceed
}
//suggest verb after personal pronouns (he|she|they), modal verbs (would|could|should)
if (token.pos.tag === "PRP" && token.pos.tag !== "PP" || token.pos.tag === "MD") {
need = 'verb'
reason = token.pos.name
return token //proceed
}
}
//satisfy need on a conflict, and fix a likely error
if (token.pos) {
if (need == "verb" && token.pos.parent == "noun" && (!next || (next.pos && next.pos.parent != "noun"))) {
if (!next || !next.pos || next.pos.parent != need) { //ensure need not satisfied on the next one
token.pos = parts_of_speech['VB']
token.pos_reason = "signal from " + reason
need = null
}
}
if (need == "noun" && token.pos.parent == "verb" && (!next || (next.pos && next.pos.parent != "verb"))) {
if (!next || !next.pos || next.pos.parent != need) { //ensure need not satisfied on the next one
token.pos = parts_of_speech["NN"]
token.pos_reason = "signal from " + reason
need = null
}
}
}
//satisfy need with an unknown pos
if (need && !token.pos) {
if (!next || !next.pos || next.pos.parent != need) { //ensure need not satisfied on the next one
token.pos = parts_of_speech[need]
token.pos_reason = "signal from " + reason
need = null
}
}
//set them back as satisfied..
if (need === 'verb' && token.pos && token.pos.parent === 'verb') {
need = null
}
if (need === 'noun' && token.pos && token.pos.parent === 'noun') {
need = null
}
return token
})
//third pass, identify missing clauses, fallback to noun
var has = {}
sentence.tokens.forEach(function (token) {
if (token.pos) {
has[token.pos.parent] = true
}
})
sentence.tokens = sentence.tokens.map(function (token, i) {
if (!token.pos) {
//if there is no verb in the sentence, and there needs to be.
if (has['adjective'] && has['noun'] && !has['verb']) {
token.pos = parts_of_speech['VB']
token.pos_reason = "need one verb"
has['verb'] = true
return token
}
//fallback to a noun
token.pos = parts_of_speech['NN']
token.pos_reason = "noun fallback"
}
return token
})
//fourth pass, error correction
sentence.tokens = sentence.tokens.map(function (token, i) {
return fourth_pass(token, i, sentence)
})
//run the fourth-pass again!
sentence.tokens = sentence.tokens.map(function (token, i) {
return fourth_pass(token, i, sentence)
})
})
//combine neighbours
if (!options.dont_combine) {
sentences = sentences.map(function (s) {
return combine_tags(s)
})
sentences = sentences.map(function (s) {
return combine_phrasal_verbs(s)
})
}
//make them Sentence objects
sentences = sentences.map(function (s) {
var sentence = new Sentence(s.tokens)
sentence.type = s.type
return sentence
})
//add analysis on each token
sentences = sentences.map(function (s) {
s.tokens = s.tokens.map(function (token, i) {
token.analysis = parents[token.pos.parent](token.normalised, s, i)
return token
})
return s
})
//add next-last references
sentences = sentences.map(function (sentence, i) {
sentence.last = sentences[i - 1]
sentence.next = sentences[i + 1]
return sentence
})
//return a Section object, with its methods
return new Section(sentences)
}
module.exports = main;
// console.log( pos("Geroge Clooney walked, quietly into a bank. It was cold.") )
// console.log( pos("it is a three-hundred and one").tags() )
// console.log( pos("funny funny funny funny").sentences[0].tokens )
// pos("In March 2009, while Secretary of State for Energy and Climate Change, Miliband attended the UK premiere of climate-change film The Age of Stupid, where he was ambushed").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text)})
// pos("the Energy and Climate Change, Miliband").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text)})
// console.log(pos("Energy and Climate Change, Miliband").sentences[0].tokens)
// console.log(pos("http://google.com").sentences[0].tokens)
// console.log(pos("may live").tags())
// console.log(pos("may 7th live").tags())
// console.log(pos("She and Marc Emery married on July 23, 2006.").tags())
// console.log(pos("Toronto is fun. Spencer and heather quickly walked. it was cool").sentences[0].referables())
// console.log(pos("a hundred").sentences[0].tokens)
// console.log(pos("Tony Reagan skates").sentences[0].tokens)
// console.log(pos("She and Marc Emery married on July 23, 2006").sentences[0].tokens)
// console.log(pos("Tony Hawk walked quickly to the store.").sentences[0].tokens)
// console.log(pos("jahn j. jacobheimer").sentences[0].tokens[0].analysis.is_person())
// pos("Dr. Conrad Murray recieved a guilty verdict").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text)})
// pos("the Phantom of the Opera").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text)})
// pos("Tony Hawk is nice").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text)})
// pos("tony hawk is nice").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text)})
// console.log(pos("look after a kid").sentences[0].tags())
// pos("Sather tried to stop the deal, but when he found out that Gretzky").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text+" "+t.pos_reason)})
// pos("Gretzky had tried skating").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text+" "+t.pos_reason)})
// pos("Sally and Tom fight a lot. She thinks he is her friend.").sentences[0].tokens.map(function(t){console.log(t.pos.tag + " "+t.text+" "+t.pos_reason)})
// console.log(pos("i think Tony Danza is cool. He rocks and he is golden.").sentences[0].tokens[2].analysis.referenced_by())
// console.log(pos("i think Tony Danza is cool and he is golden.").sentences[0].tokens[6].analysis.reference_to())
// console.log(pos("Tina grabbed her shoes. She is lovely.").sentences[0].tokens[0].analysis.referenced_by())
// console.log(pos("Sally and Tom fight a lot. She thinks he is her friend.").sentences[0].tokens[0].analysis.referenced_by())
// console.log(pos("it's gotten the best features").sentences[0].tokens[1].normalised=="has") //bug
// console.log(pos("he's fun").sentences[0].tokens[1].normalised=="is")
},{"./data/lexicon":2,"./data/lexicon/values":12,"./data/parts_of_speech":14,"./data/unambiguous_suffixes":15,"./data/word_rules":16,"./methods/tokenization/tokenize":22,"./parents/parents":35,"./section":46,"./sentence":47}],46:[function(require,module,exports){
//a section is a block of text, with an arbitrary number of sentences
//these methods are just wrappers around the ones in sentence.js
var Section = function(sentences) {
var the = this
the.sentences = sentences || [];
the.text = function() {
return the.sentences.map(function(s) {
return s.text()
}).join(' ')
}
the.tense = function() {
return the.sentences.map(function(s) {
return s.tense()
})
}
//pluck out wanted data from sentences
the.nouns = function() {
return the.sentences.map(function(s) {
return s.nouns()
}).reduce(function(arr, a) {
return arr.concat(a)
}, [])
}
the.entities = function(options) {
return the.sentences.map(function(s) {
return s.entities(options)
}).reduce(function(arr, a) {
return arr.concat(a)
}, [])
}
the.people = function() {
return the.sentences.map(function(s) {
return s.people()
}).reduce(function(arr, a) {
return arr.concat(a)
}, [])
}
the.adjectives = function() {
return the.sentences.map(function(s) {
return s.adjectives()
}).reduce(function(arr, a) {
return arr.concat(a)
}, [])
}
the.verbs = function() {
return the.sentences.map(function(s) {
return s.verbs()
}).reduce(function(arr, a) {
return arr.concat(a)
}, [])
}
the.adverbs = function() {
return the.sentences.map(function(s) {
return s.adverbs()
}).reduce(function(arr, a) {
return arr.concat(a)
}, [])
}
the.values = function() {
return the.sentences.map(function(s) {
return s.values()
}).reduce(function(arr, a) {
return arr.concat(a)
}, [])
}
the.tags = function() {
return the.sentences.map(function(s) {
return s.tags()
})
}
//transform the sentences
the.negate = function() {
the.sentences = the.sentences.map(function(s) {
return s.negate()
})
return the
}
the.to_past = function() {
the.sentences = the.sentences.map(function(s) {
return s.to_past()
})
return the
}
the.to_present = function() {
the.sentences = the.sentences.map(function(s) {
return s.to_present()
})
return the
}
the.to_future = function() {
the.sentences = the.sentences.map(function(s) {
return s.to_future()
})
return the
}
}
module.exports = Section;
},{}],47:[function(require,module,exports){
// methods that hang on a parsed set of words
// accepts parsed tokens
var Sentence = function(tokens) {
var the = this
the.tokens = tokens || [];
var capitalise = function(s) {
return s.charAt(0).toUpperCase() + s.slice(1);
}
the.tense = function() {
var verbs = the.tokens.filter(function(token) {
return token.pos.parent === "verb"
})
return verbs.map(function(v) {
return v.analysis.tense
})
}
the.to_past = function() {
the.tokens = the.tokens.map(function(token) {
if (token.pos.parent === "verb") {
token.text = token.analysis.to_past()
token.normalised = token.text
}
return token
})
return the
}
the.to_present = function() {
the.tokens = the.tokens.map(function(token) {
if (token.pos.parent === "verb") {
token.text = token.analysis.to_present()
token.normalised = token.text
}
return token
})
return the
}
the.to_future = function() {
the.tokens = the.tokens.map(function(token) {
if (token.pos.parent === "verb") {
token.text = token.analysis.to_future()
token.normalised = token.text
}
return token
})
return the
}
the.insert = function(token, i) {
if (i && token) {
the.tokens.splice(i, 0, token);
}
}
//negate makes the sentence mean the opposite thing.
the.negate = function() {
//these are cheap ways to negate the meaning
// ('none' is ambiguous because it could mean (all or some) )
var logic_negate = {
//some logical ones work
"everyone": "no one",
"everybody": "nobody",
"someone": "no one",
"somebody": "nobody",
// everything:"nothing",
"always": "never",
//copulas
"is": "isn't",
"are": "aren't",
"was": "wasn't",
"will": "won't",
//modals
"didn't": "did",
"wouldn't": "would",
"couldn't": "could",
"shouldn't": "should",
"can't": "can",
"won't": "will",
"mustn't": "must",
"shan't": "shall",
"shant": "shall",
"did": "didn't",
"would": "wouldn't",
"could": "couldn't",
"should": "shouldn't",
"can": "can't",
"must": "mustn't"
}
//loop through each term..
for (var i = 0; i < the.tokens.length; i++) {
var tok = the.tokens[i]
//turn 'is' into 'isn't', etc - make sure 'is' isnt followed by a 'not', too
if (logic_negate[tok.normalised] && (!the.tokens[i + 1] || the.tokens[i + 1].normalised != "not")) {
tok.text = logic_negate[tok.normalised]
tok.normalised = logic_negate[tok.normalised]
if (tok.capitalised) {
tok.text = capitalise(tok.text)
}
return the
}
// find the first verb..
if (tok.pos.parent == "verb") {
// if verb is already negative, make it not negative
if (tok.analysis.negative()) {
if (the.tokens[i + 1] && the.tokens[i + 1].normalised == "not") {
the.tokens.splice(i + 1, 1)
}
return the
}
//turn future-tense 'will go' into "won't go"
if (tok.normalised.match(/^will /i)) {
tok.text = tok.text.replace(/^will /i, "won't ")
tok.normalised = tok.text
if (tok.capitalised) {
tok.text = capitalise(tok.text)
}
return the
}
// - INFINITIVE-
// 'i walk' -> "i don't walk"
if (tok.analysis.form == "infinitive" && tok.analysis.form != "future") {
tok.text = "don't " + (tok.analysis.conjugate().infinitive || tok.text)
tok.normalised = tok.text.toLowerCase()
return the
}
// - GERUND-
// if verb is gerund, 'walking' -> "not walking"
if (tok.analysis.form == "gerund") {
tok.text = "not " + tok.text
tok.normalised = tok.text.toLowerCase()
return the
}
// - PAST-
// if verb is past-tense, 'he walked' -> "he did't walk"
if (tok.analysis.tense == "past") {
tok.text = "didn't " + (tok.analysis.conjugate().infinitive || tok.text)
tok.normalised = tok.text.toLowerCase()
return the
}
// - PRESENT-
// if verb is present-tense, 'he walks' -> "he doesn't walk"
if (tok.analysis.tense == "present") {
tok.text = "doesn't " + (tok.analysis.conjugate().infinitive || tok.text)
tok.normalised = tok.text.toLowerCase()
return the
}
// - FUTURE-
// if verb is future-tense, 'will go' -> won't go. easy-peasy
if (tok.analysis.tense == "future") {
if (tok.normalised == "will") {
tok.normalised = "won't"
tok.text = "won't"
} else {
tok.text = tok.text.replace(/^will /i, "won't ")
tok.normalised = tok.normalised.replace(/^will /i, "won't ")
}
if (tok.capitalised) {
tok.text = capitalise(tok.text);
}
return the
}
return the
}
}
return the
}
the.entities = function(options) {
var spots = []
options = options || {}
the.tokens.forEach(function(token) {
if (token.pos.parent === "noun" && token.analysis.is_entity()) {
spots.push(token)
}
})
if (options.ignore_gerund) {
spots = spots.filter(function(t) {
return t.pos.tag !== "VBG"
})
}
return spots
}
//noun-entities that look like person names..
the.people = function(){
return the.entities({}).filter(function(o){
return o.analysis.is_person()
})
}
the.text = function() {
return the.tokens.map(function(s) {
return s.text
}).join(' ')
}
//sugar 'grab' methods
the.verbs = function() {
return the.tokens.filter(function(t) {
return t.pos.parent == "verb"
})
}
the.adverbs = function() {
return the.tokens.filter(function(t) {
return t.pos.parent == "adverb"
})
}
the.nouns = function() {
return the.tokens.filter(function(t) {
return t.pos.parent == "noun"
})
}
the.adjectives = function() {
return the.tokens.filter(function(t) {
return t.pos.parent == "adjective"
})
}
the.values = function() {
return the.tokens.filter(function(t) {
return t.pos.parent == "value"
})
}
the.tags = function() {
return the.tokens.map(function(t) {
return t.pos.tag
})
}
//find the 'it', 'he', 'she', and 'they' of this sentence
//these are the words that get 'exported' to be used in other sentences
the.referables=function(){
var pronouns={
he:undefined,
she:undefined,
they:undefined,
it:undefined
}
the.tokens.forEach(function(t){
if(t.pos.parent=="noun" && t.pos.tag!="PRP"){
pronouns[t.analysis.pronoun()]=t
}
})
return pronouns
}
return the
}
module.exports = Sentence;
},{}],48:[function(require,module,exports){
//just a wrapper for text -> entities
//most of this logic is in ./parents/noun
var pos = require("./pos");
var main = function (text, options) {
options = options || {}
//collect 'entities' from all nouns
var sentences = pos(text, options).sentences
var arr = sentences.reduce(function (arr, s) {
return arr.concat(s.entities(options))
}, [])
//for people, remove instances of 'george', and 'bush' after 'george bush'.
var ignore = {}
arr = arr.filter(function (o) {
//add tokens to blacklist
if (o.analysis.is_person()) {
o.normalised.split(' ').forEach(function (s) {
ignore[s] = true
})
}
if (ignore[o.normalised]) {
return false
}
return true
})
return arr
}
module.exports = main;
// console.log(spot("Tony Hawk is cool. Tony eats all day.").map(function(s){return s}))
// console.log(spot("Tony eats all day. Tony Hawk is cool.").map(function(s){return s}))
// console.log(spot("My Hawk is cool").map(function(s){return s.normalised}))
},{"./pos":45}]},{},[1]);
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