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nournia/matching.py

Last active December 11, 2015 07:19
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Dadegan valency matching
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matching.py
import codecs
from search.models import Valency, Dependency
for verb in codecs.open('static/verbs.txt', encoding='utf8'):
verb = verb.strip()
count = len(Dependency().findVerbSentences(verb))
for valency in Valency().find(verb):
print '%-15s\t%s %s' % ('%d/%d' % (len(valency['sentences']), count), valency['verb']['surface'].encode('utf8'), Valency().str(valency['verb']['valency']).encode('utf8'))
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nournia commented Jan 18, 2013

Just put it in dadegan root directory and make matching list.

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