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中文錯誤類型文字增量

Project description

錯誤類型中文語料生成

安裝

pip install zh-mistake-text-gen

使用 (Pipeline)

from zh_mistake_text_gen import Pipeline
pipeline = Pipeline()
incorrect_sent = pipeline("中文語料生成")
print(incorrect_sent)
# type='PronounceSimilarVocabMaker' correct='中文語料生成' incorrect='鍾文語料生成' incorrect_start_at=0 incorrect_end_at=2 span='鍾文'

文檔

Pipeline

  • __init__

    • makers = None : maker實例,可選
    • maker_weight = None : maker被抽中的機率,可選
  • __call__

    • x : 輸入句(str),必需
    • error_per_sent: 每句要多少錯誤。預設:1
    • no_change_on_gen_fail: 生成方法失敗的時候允許不變動。啟用時不拋出錯誤,反之。預設:False
    • verbose=True : debug 訊息,可選

可用方法

from zh_mistake_text_gen.data_maker import *
Data Maker Description
NoChangeMaker 沒有任何變換
MissingWordMaker 隨機缺字
MissingVocabMaker 隨機缺詞
PronounceSimilarWordMaker 隨機相似字替換
PronounceSimilarWordPlusMaker 編輯距離找發音相似並且用高頻字替換
PronounceSimilarVocabMaker 發音相似詞替換
PronounceSimilarVocabPlusMaker 編輯距離找發音相似發音相似詞替換
PronounceSameWordMaker 發音相同字替換
PronounceSameVocabMaker 發音相同詞替換
RedundantWordMaker 隨機複製旁邊一個字作為沆於字
RandomInsertVacabMaker 隨機插入詞彙
MistakWordMaker 隨機替換字
MistakeWordHighFreqMaker 隨機替換高頻字
MissingWordHighFreqMaker 隨機刪除高頻字

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