Python implementation of StarCC
Project description
StarCC-Py
简繁转换 簡繁轉換 Python implementation of StarCC, the next generation of Simplified-Traditional Chinese conversion framework
安裝 Installation
pip install starcc
用法 Usage
簡轉繁 Simplified to Traditional
不轉換用詞 Without phrase conversion:
from StarCC import PresetConversion
convert = PresetConversion(src='cn', dst='hk', with_phrase=False) # change to `dst='tw'` for Taiwan mode
print(convert('阴天,山容便黯澹无聊,半隐入米家的水墨里去。'))
# 陰天,山容便黯澹無聊,半隱入米家的水墨裏去。
轉換用詞 With phrase conversion:
from StarCC import PresetConversion
convert = PresetConversion(src='cn', dst='tw', with_phrase=True)
print(convert('KB 大桥也被视为帕劳人的后花园。'))
# KB 大橋也被視為帛琉人的後花園。
繁轉簡 Traditional to Simplified
不轉換用詞 Without phrase conversion:
from StarCC import PresetConversion
convert = PresetConversion(src='hk', dst='cn', with_phrase=False) # change to `dst='tw'` for Taiwan mode
print(convert('盆地並不會永久被水覆蓋,而是反覆蒸發循環。'))
# 盆地并不会永久被水覆盖,而是反复蒸发循环。
轉換用詞 With phrase conversion:
from StarCC import PresetConversion
convert = PresetConversion(src='tw', dst='cn', with_phrase=True)
print(convert('在搜尋欄位使用萬用字元。'))
# 在搜索字段使用通配符。
高級用法 Advanced Usage
在簡轉繁時使用外部分詞 Use external segmentation tools when converting from Simplified to Traditional
此功能已預設開啓 This function is enabled by default
from StarCC import PresetConversion
convert = PresetConversion(src='cn', dst='hk', with_phrase=False, use_seg=True)
convert('拥有 116 年历史') # Correct: 擁有 116 年歷史
convert = PresetConversion(src='cn', dst='hk', with_phrase=False, use_seg=False)
convert('拥有 116 年历史') # Wrong: 擁有 116 年曆史
轉換模式一覽 Supported conversion modes
cn
: Simplified Chinese (Mainland China)hk
: Traditional Chinese (Hong Kong)tw
: Traditional Chinese (Taiwan)cnt
: Traditional Chinese (Mainland China)jp
: Japanese Shinjitai
The support of cnt
is currently experimental.
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