Python module that identifies Chinese text as Simplified or Traditional.
Project description
Hanzi Identifier is a simple Python module that identifies a string of text as having Simplified or Traditional characters.
Free software: MIT license
About
Easy-to-use helper functions for identifying strings:
>>> import hanzidentifier
>>> hanzidentifier.has_chinese('Hello my name is John.')
False
>>> hanzidentifier.is_simplified('John说:你好!')
True
>>> hanzidentifier.is_traditional('John說:你好!')
True
>>> hanzidentifier.has_chinese('Country in Simplified: 国家. Country in Traditional: 國家.')
True
Here it is without the helper functions:
>>> hanzidentifier.identify('Hello my name is Thomas.') is hanzidentifier.UNKNOWN
True
>>> hanzidentifier.identify('Thomas 说:你好!') is hanzidentifier.SIMPLIFIED
True
>>> hanzidentifier.identify('Thomas 說:你好!') is hanzidentifier.TRADITIONAL
True
>>> hanzidentifier.identify('你好!') is hanzidentifier.BOTH
True
>>> hanzidentifier.identify('Country in Simplified: 国家. Country in Traditional: 國家.' ) is hanzidentifier.MIXED
True
hanzidentifier.identify has five possible return values:
hanzidentifier.UNKNOWN: there are no recognized Chinese characters in the string.
hanzidentifier.BOTH: the string is compatible with both Simplified and Traditional character systems.
hanzidentifier.TRADITIONAL: the string consists of Traditional characters.
hanzidentifier.SIMPLIFIED: the string consists of Simplified characters.
hanzidentifier.MIXED: the string consists of characters recognized solely as Traditional characters and also consists of characters recognized solely as Simplified characters.
Characters that aren’t found in CC-CEDICT are ignored when determining a string’s identity. Hanzi Identifier uses the CC-CEDICT data provided by Zhon to identify Chinese characters.
Because the Traditional and Simplified Chinese character systems overlap, a string containing Simplified characters could identify as hanzidentifier.SIMPLIFIED or hanzidentifier.BOTH depending on if the characters are also Traditional characters.
Getting Started
Install Hanzi Identifier: $ pip install hanzidentifier
Report bugs and ask questions via GitHub Issues
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