char-similar 0.0.1

char-similar: Tookit of Chinese Character Similarity, Especially the Shape of the Characters.

char-similar

汉字字形/拼音/语义相似度(单字, 可用于数据增强, CSC错别字检测识别任务(构建混淆集))

一、安装

0. 注意事项


   默认不指定numpy版本(标准版numpy==1.22.4), 过高或者过低的版本可能不支持


   标准版本的依赖包详见 requirements-all.txt


   


1. 通过PyPI安装


   pip install char-similar


   使用镜像源, 如：


   pip install -i https://pypi.tuna.tsinghua.edu.cn/simple char-similar

二、使用方式

2.1 快速使用

from char_similar import std_cal_sim


char1 = "我"


char2 = "他"


res = std_cal_sim(char1, char2)


print(res)


# output:


# 0.5821

2.2 详细使用

from char_similar import std_cal_sim


# "all"(字形:拼音:字义=1:1:1)  # "w2v"(字形:字义=1:1)  # "pinyin"(字形:拼音=1:1)  # "shape"(字形=1)


kind = "shape"


rounded = 4  # 保留x位小数


char1 = "我"


char2 = "他"


res = std_cal_sim(char1, char2, rounded=rounded, kind=kind)


print(res)


# output:


# 0.5821

2.3 多线程使用

from char_similar import pool_cal_sim


# "all"(字形:拼音:字义=1:1:1)  # "w2v"(字形:字义=1:1)  # "pinyin"(字形:拼音=1:1)  # "shape"(字形=1)


kind = "shape"


rounded = 4  # 保留x位小数


char1 = "我"


char2 = "他"


res = pool_cal_sim(char1, char2, rounded=rounded, kind=kind)


print(res)


# output:


# 0.5821

2.4 多进程使用(不建议, 实现得较慢)

if __name__ == '__main__':


    from char_similar import multi_cal_sim


    # "all"(字形:拼音:字义=1:1:1)  # "w2v"(字形:字义=1:1)  # "pinyin"(字形:拼音=1:1)  # "shape"(字形=1)


    kind = "shape"


    rounded = 4  # 保留x位小数


    char1 = "我"


    char2 = "他"


    res = multi_cal_sim(char1, char2, rounded=rounded, kind=kind)


    print(res)


    # output:


    # 0.5821

三、技术原理

char-similar最初的使用场景是计算两个汉字的字形相似度(构建csc混淆集), 后加入拼音相似度,字义相似度,字频相似度...详见源码.





# 四角码(code=4, 共5位), 统计四个数字中的相同数/4


# 偏旁部首, 相同为1


# 词频log10, 统计大规模语料macropodus中词频log10的 1-(差的绝对值/两数中的最大值)


# 笔画数, 1-(差的绝对值/两数中的最大值)


# 拆字, 集合的与 / 集合的并


# 构造结构, 相同为1


# 笔顺(实际为最小的集合), 集合的与 / 集合的并


# 拼音(code=4, 共4位), 统计四个数字中的相同数(拼音/声母/韵母/声调)/4


# 词向量, char-word2vec, cosine

四、参考(部分字典来源以下项目)

• https://github.com/contr4l/SimilarCharacter

• https://github.com/houbb/nlp-hanzi-similar

• https://github.com/mozillazg/python-pinyin

• https://github.com/CNMan/UnicodeCJK-WuBi

• https://github.com/yongzhuo/Macropodus

• https://github.com/kfcd/chaizi

Reference

For citing this work, you can refer to the present GitHub project. For example, with BibTeX:

@misc{Macropodus,


    howpublished = {https://github.com/yongzhuo/char-similar},


    title = {char-similar},


    author = {Yongzhuo Mo},


    publisher = {GitHub},


    year = {2024}


}