hello_MBSP.py

# -*- coding: utf-8 -*-
"""
Test MBSP parsing

Help on clips.MBSP
http://www.clips.ua.ac.be/pages/MBSP
"""
import MBSP
from time import time

sample_input = "sentences.txt"

def run(f):    
    start_time = time()
    f()
    print time() - start_time, "seconds"   

def MBSP_parser():    
    f_in = open(sample_input,  "r") # one sentence per line
    
    suc = 0
    # below is client code to parse some sentences from a file
    for i, text in enumerate(f_in):
        #if i > 2: break # for test first 5 lines
        print 
        print str(i+1)+")", text
        try:
            # test parsing
            try:
                s = MBSP.parse(text)
            except:
                print 'parsing failed, try using ascii parsing %d' % i,  text
                text = text.encode('ascii', 'ignore')
                s = MBSP.parse(text)
            
            
            MBSP.pprint(s)
            #print s.constituents(pnp=False)
            #print s.nltk_tree()

            sen = MBSP.Sentence(s, token=[MBSP.WORD, MBSP.POS, MBSP.CHUNK, \
                    MBSP.PNP, MBSP.REL, MBSP.ANCHOR, MBSP.LEMMA])
            print sen.relations
            print "* Subject = ", sen.subjects
            print "* Object = ", sen.objects
            
            # test prepositional phrase chunking
            print
            pnp = MBSP.split(s)
            print(pnp[0].chunks)
            
            # print all tagged words
            print
            print(repr(pnp))
            suc += 1
        except:
            print '[Parsing error]',  text
    
    f_in.close()    
    print "successfully parsed", suc, "sentences"

MBSP.start(timeout=60) # create a server
run(MBSP_parser)
MBSP.stop()