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Chinese Text Normalization(for speech recognition and text to speech)

Project description

zh-normalization

Chinese sentence NSW(Non-Standard-Word) Normalization

Supported NSW (Non-Standard-Word) Normalization

NSW type raw normalized
serial number 电影中梁朝伟扮演的陈永仁的编号27149 电影中梁朝伟扮演的陈永仁的编号二七一四九
cardinal 这块黄金重达324.75克
我们班的最高总分为583分
这块黄金重达三百二十四点七五克
我们班的最高总分为五百八十三分
numeric range 12~23
-1.5~2
十二到二十三
负一点五到二
date 她出生于86年8月18日,她弟弟出生于1995年3月1日 她出生于八六年八月十八日, 她弟弟出生于一九九五年三月一日
time 等会请在12:05请通知我 等会请在十二点零五分请通知我
temperature 今天的最低气温达到-10°C 今天的最低气温达到零下十度
fraction 现场有7/12的观众投出了赞成票 现场有十二分之七的观众投出了赞成票
percentage 明天有62%的概率降雨 明天有百分之六十二的概率降雨
money 随便来几个价格12块5,34.5元,20.1万 随便来几个价格十二块五,三十四点五元,二十点一万
telephone 这是固话0421-33441122
这是手机+86 18544139121
这是固话零四二一三三四四一一二二
这是手机八六一八五四四一三九一二一

Usage

pip install zh-normalization

Run the following code to normalize the Chinese sentence:

from zh_normalization import TextNormalizer

m = TextNormalizer()
text = "电影中梁朝伟扮演的陈永仁的编号27149!"
sents = m.normalize(text)
new_text = ''.join(sents)
print(new_text)

Output:

电影中梁朝伟扮演的陈永仁的编号二七幺四九!

References

Pull requests #658 of DeepSpeech

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