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# iparser.py
#
# Author: Yuanbin Wu
# National University of Singapore (NUS)
# Date: 12 Mar 2013
# Version: 1.0
#
# Contact: wuyb@comp.nus.edu.sg
#
# This script is distributed to support the CoNLL-2013 Shared Task.
# It is free for research and educational purposes.
import os
import sys
class stanfordparser:
def __init__(self):
pass
def parse_batch(self, sentenceDumpedFileName, parsingDumpedFileName):
if os.path.exists('../stanford-parser-2012-03-09') == False:
print >> sys.stderr, 'can not find Stanford parser directory'
sys.exit(1)
# tokenized
cmd = r'java -server -mx4096m -cp "../stanford-parser-2012-03-09/*:" edu.stanford.nlp.parser.lexparser.LexicalizedParser -retainTMPSubcategories -sentences newline -tokenized -escaper edu.stanford.nlp.process.PTBEscapingProcessor -outputFormat "wordsAndTags, penn, typedDependencies" -outputFormatOptions "basicDependencies" edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ' + sentenceDumpedFileName
r = os.popen(cmd).read().strip().decode('utf-8')
f = open(parsingDumpedFileName, 'w')
f.write(r.encode('utf-8'))
f.close()
rlist = r.replace('\n\n\n', '\n\n\n\n').split('\n\n')
return rlist
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