24 lines
768 B
Python
24 lines
768 B
Python
import nltk
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import os
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from nltk.stem import WordNetLemmatizer
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wl = WordNetLemmatizer()
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train_in_path = os.path.join(os.path.expanduser('~'), 'mt-summit-corpora/train/in.tsv')
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train_expected_path = os.path.join(os.path.expanduser('~'), 'mt-summit-corpora/train/expected.tsv')
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file_lemmatized = []
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with open(train_in_path, 'r') as file:
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for line in file:
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if len(file_lemmatized) % 50000 == 0:
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print('lemmatizing file: ' + train_in_path + ': ' + str(len(file_lemmatized)), end='\r')
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line = nltk.word_tokenize(line)
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file_lemmatized.append(' '.join([wl.lemmatize(x) for x in line]))
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print('\n')
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with open(train_in_path + '.lemmatized', 'w') as file_write:
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for line in file_lemmatized:
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file_write.write(line + '\n')
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