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""" |
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1. jd_vocab_tokens的中文： |
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2. 中文标点 |
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3. 全中文（单字） unicode |
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4. 全中文（） |
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中文汉字数：54230, 中文标点数: 549 |
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""" |
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from collections import Counter |
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from transformers import AutoTokenizer |
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from data_sample.oov_base import jd_vocab_tokens |
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from utils.text_util import is_chinese, has_chinese |
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from zhon.hanzi import punctuation as zh_punc |
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vocab = open("vocab.txt", "r", encoding="utf-8").readlines() |
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def zh_iterator(): |
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for idx in range(ord(u'\u4e00'), ord(u'\u9fa5')): |
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yield (chr(idx)) |
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def test_coding_length(vocab, filter=None): |
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all_length = [] |
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for word in vocab: |
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if len(word) > 1: |
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continue |
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if filter is not None and filter(word): |
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continue |
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tokens = tokenizer.encode(word) |
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all_length.append(len(tokens)) |
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if len(tokens.ids) == 1: |
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print(word, tokens.ids) |
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print("编码长度统计：", Counter(all_length)) |
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print("平均编码长度：", sum(all_length)/len(all_length)) |
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def has_zh_char(text): |
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return any(ch in zh_punc for ch in text) |
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def iter_vocab(): |
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f_out = open("vocab.zh.txt", "w", encoding="utf-8") |
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zh_token_count = 0 |
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zh_symbol_count = 0 |
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for idx, word in enumerate(vocab): |
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if has_chinese(decode_str): |
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zh_token_count += 1 |
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f_out.write("%d\t%s\t中文汉字\n" % (idx, decode_str)) |
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elif has_zh_char(decode_str): |
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zh_symbol_count += 1 |
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f_out.write("%d\t%s\t中文标点\n" % (idx, decode_str)) |
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print("中文汉字数：%d, 中文标点数: %d" % (zh_token_count, zh_symbol_count)) |
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if __name__ == "__main__": |
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iter_vocab() |
