35 lines
867 B
Python
35 lines
867 B
Python
import nltk
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import os
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import pandas as pd
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import sys
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from nltk.stem import WordNetLemmatizer
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nltk.download('wordnet')
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def read_arguments():
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try:
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glossary_arg_pathx = sys.argv
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return glossary_arg_pathx
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except Exception:
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print("ERROR: Wrong argument.")
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sys.exit(1)
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wl = WordNetLemmatizer()
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glossary_path = os.path.join(os.path.expanduser('~'), read_arguments()[0])
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glossary = pd.read_csv(glossary_path, sep='\t', header=None, names=['source', 'result'])
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source_lemmatized = []
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for word in glossary['source']:
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word = nltk.word_tokenize(word)
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source_lemmatized.append(' '.join([wl.lemmatize(x) for x in word]))
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glossary['source_lem'] = source_lemmatized
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glossary = glossary[['source', 'source_lem', 'result']]
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glossary.set_index('source_lem')
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glossary.to_csv(glossary_path + '.lemmatized', sep='\t', index=False)
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