24 lines
767 B
Python
24 lines
767 B
Python
import nltk
|
|
import os
|
|
|
|
from nltk.stem import WordNetLemmatizer
|
|
|
|
|
|
wl = WordNetLemmatizer()
|
|
|
|
train_in_path = os.path.join(os.path.expanduser('~'), 'mt-summit-corpora/train/in.tsv')
|
|
train_expected_path = os.path.join(os.path.expanduser('~'), 'mt-summit-corpora/train/expected.tsv')
|
|
|
|
file_lemmatized = []
|
|
with open(train_in_path, 'r') as file:
|
|
for line in file:
|
|
if len(file_lemmatized) % 1000 == 0:
|
|
print('lemmatizing file: ' + train_in_path + ': ' + str(len(file_lemmatized)), end='\r')
|
|
line = nltk.word_tokenize(line)
|
|
file_lemmatized.append(' '.join([wl.lemmatize(x) for x in line]))
|
|
print('\n')
|
|
|
|
with open(train_in_path + '.lemmatized', 'w') as file_write:
|
|
for line in file_lemmatized:
|
|
file_write.write(line + '\n')
|