| import random
|
| from sklearn.model_selection import train_test_split
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| import MeCab
|
|
|
| mecab = MeCab.Tagger("-Owakati")
|
|
|
| def build_vocab(corpus, language="en"):
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| vocab = set()
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| if language == "en":
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| for sentence in corpus:
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| tokens = sentence.strip().split()
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| vocab.update(tokens)
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| else:
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| for sentence in corpus:
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| tokens = mecab.parse(sentence).strip().split()
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| vocab.update(tokens)
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| return sorted(vocab)
|
|
|
| def preprocess_data(filepath):
|
| english_sentences = []
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| japanese_sentences = []
|
|
|
| with open(filepath, "r", encoding="utf-8") as f:
|
| for line in f:
|
| if '\t' in line:
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| jp_sentence, en_sentence = line.strip().split("\t")
|
| english_sentences.append(en_sentence)
|
| japanese_sentences.append(jp_sentence)
|
|
|
| return english_sentences, japanese_sentences
|
|
|
|
|
| def split_dataset(english_sentences, japanese_sentences, train_size=0.8, valid_size=0.1):
|
| total_size = train_size + valid_size
|
| en_train_valid, en_test, jp_train_valid, jp_test = train_test_split(english_sentences, japanese_sentences, test_size=1-total_size, random_state=42)
|
| en_train, en_valid, jp_train, jp_valid = train_test_split(en_train_valid, jp_train_valid, test_size=valid_size/(train_size + valid_size), random_state=42)
|
| return en_train, en_valid, en_test, jp_train, jp_valid, jp_test
|
|
|
|
|
| if __name__ == "__main__":
|
| english_sentences, japanese_sentences = preprocess_data("eng_jpn.txt")
|
|
|
| en_vocab = build_vocab(english_sentences, language="en")
|
| jp_vocab = build_vocab(japanese_sentences, language="jp")
|
|
|
| print(f"English Vocabulary Size: {len(en_vocab)}")
|
| print(f"Japanese Vocabulary Size: {len(jp_vocab)}")
|
|
|
| en_train, en_valid, en_test, jp_train, jp_valid, jp_test = split_dataset(english_sentences, japanese_sentences)
|
|
|
| with open("train.txt", "w", encoding="utf-8") as f:
|
| for jp_sentence, en_sentence in zip(jp_train, en_train):
|
| f.write(jp_sentence + "\t" + en_sentence + "\n")
|
|
|
| with open("valid.txt", "w", encoding="utf-8") as f:
|
| for jp_sentence, en_sentence in zip(jp_valid, en_valid):
|
| f.write(jp_sentence + "\t" + en_sentence + "\n")
|
|
|
| with open("test.txt", "w", encoding="utf-8") as f:
|
| for jp_sentence, en_sentence in zip(jp_test, en_test):
|
| f.write(jp_sentence + "\t" + en_sentence + "\n")
|
|
|
| print("Dataset splitting complete!")
|
|
|
|
|
| |
