33 lines
942 B
Python
33 lines
942 B
Python
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from nltk.corpus import wordnet as wn
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from syllables import estimate
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# syns = wn.synsets("program")
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# print(syns[0].name())
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# grief = wn.synsets('grief')
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# love = wn.synsets('love')
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# # print(grief.path_similarity(love))
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# # print(grief)
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# print(grief[0].definition())
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# print(love[0].definition())
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abstractNouns = list([i for i in wn.synset('abstraction.n.06').closure(lambda s:s.hyponyms())])
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print(len(abstractNouns))
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d = {}
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for n in abstractNouns:
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if str(estimate(n.name())) in d.keys():
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d[str(estimate(n.name()))].append(n.lemmas()[0].name())
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else:
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d[str(estimate(n.name()))] = [n.lemmas()[0].name()]
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# print(n.lemmas()[0].name(),estimate(n.name()))
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for i in d:
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with open(f'{i}_syllable.txt', 'a') as f:
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for ind, l in enumerate(d[i]):
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if ind < len(d[i]) - 1:
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f.write(f'{l}\n'.replace('_', ' '))
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else:
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f.write(f'{l}'.replace('_', ' '))
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