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<?xml version="1.0"?> | |
<opml version="1.0"> | |
<head> | |
<title>(Psycho)linguistics journals</title> | |
</head> | |
<body> | |
<outline title="Annual Rev Ling" xmlUrl="https://www.annualreviews.org/action/showFeed?ui=45mu4&mi=3fndc3&ai=6690&jc=linguistics&type=etoc&feed=atom"/> | |
<outline title="Brain & Language" xmlUrl="https://rss.sciencedirect.com/publication/science/0093934X"/> | |
<outline title="Cognition" xmlUrl="http://rss.sciencedirect.com/publication/science/00100277"/> | |
<outline title="Cognitive Science" xmlUrl="https://onlinelibrary.wiley.com/feed/15516709/most-recent"/> |
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import nltk | |
from statistics import mean, stdev, median, mode | |
nltk.download('brown') | |
tokens = nltk.corpus.brown.tagged_words(tagset="universal") | |
types = list(dict.fromkeys(tokens)) | |
# Lengths of tokens / types but ignoring punctuation, numbers, and X | |
# which is mostly foreign words (German, French, Latin) but strangely | |
# also a small number of common English words: |
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library(ggplot2) | |
library(dplyr) | |
options(scipen=999) | |
N <- 100000 # Number of simulations | |
# Data: |
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set.seed(1) | |
mu <- 0 | |
sigma <- 1 | |
N.trials <- 20 | |
N.sims <- 50 | |
rnorm(N.trials*N.sims, mu, sigma) |> | |
matrix(nrow=N.sims) -> Y | |
d <- apply(Y, 1, \(y) c(mean(y), sd(y)/sqrt(length(y)))) |
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(require 'url-http) | |
(defun insert-bibtex-from-doi () | |
(interactive) | |
(let* ((doi (string-trim (gui-get-primary-selection))) | |
(url (if (string-prefix-p "https://doi.org/" doi) | |
doi | |
(concat "https://doi.org/" doi))) | |
(url-request-method "GET") | |
(url-mime-accept-string "application/x-bibtex")) |
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