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yt605155624
yt605155624 commented Jan 6, 2022

目前的多音字使用 pypinyin 或者 g2pM,精度有限,想做一个基于 BERT (或者 ERNIE) 多音字预测模型,简单来说就是假设某语言有 100 个多音字,每个多音字最多有 3 个发音,那么可以在 BERT 后面接 100 个 3 分类器(简单的 fc 层即可),在预测时,找到对应的分类器进行分类即可。
参考论文:
tencent_polyphone.pdf

数据可以用 https://github.com/kakaobrain/g2pM 提供的数据

进阶:多任务的 BERT
![image](https://user-images.githubusercontent.com/24568452

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