def query(word, dick, invdick, freqdick):
"""Returns [(syn, prob.)] where `syn` is a synonym of `word` and
`prob.` is its weight, i.e. how much we prefer it."""
global freq_offset
# sim for similarities
syn_sims = reweight(synonyms.query_word(word, dick, invdick))
# we should give any word a chance
res_freqs = reweight({key: weight_func(val, freqdick.get(key, 0))
for key, val in syn_sims.iteritems()})
#return sorted(res_freqs.items(), lambda x: x[1], reverse=True)
return res_freqs.items() # comment prev. line if we don't need to sort the result
`prob.` is its weight, i.e. how much we prefer it."""
global freq_offset
# sim for similarities
syn_sims = reweight(synonyms.query_word(word, dick, invdick))
# we should give any word a chance
res_freqs = reweight({key: weight_func(val, freqdick.get(key, 0))
for key, val in syn_sims.iteritems()})
#return sorted(res_freqs.items(), lambda x: x[1], reverse=True)
return res_freqs.items() # comment prev. line if we don't need to sort the result
if __name__ == '__main__':
(dick, invdick) = synonyms.read_wordbank('../data/wordbank.txt')
syn_query_word = lambda word: synonyms.query_word(word, dick, invdick)
word_freq_prefix = '../wordfreq/'
wordfreq_files = [word_freq_prefix + fname for fname in enum_file_names()]
words = dick.keys()
def count(file_name, output_file = sys.stdout):
freq_dick = word_freq.load_file(file_name)
syn_freq_dick = {}
for word in words:
if word in freq_dick:
syn_freq_dick[word] = freq_dick[word]
print >>output_file, 'File name:', file_name
