This project forked from camel2000/-
用多层BLSTM模型同时进行中文分词和标点符号预测
中文分词和标点符号预测都可以被当做序列标注问题进行处理，这是实现联合标注，进而搭建联合框架同时进行中文分词和标点预测的关键。本项目包含2个要点： 1 中文分词和标点预测的联合标注（中文分词使用四词位） 2 多层BLATM模型
项目用Python语言所写，神经网络的实现用到了Google的tensorflow-1.0.1
1）my_biLSTM_multilayer_CWS.py 此文件定义搭建的多层BLSTM模型和执行迭代训练，首先要运行此文件，训练联合框架。
2） my_biLSTM_multilayer_CWS_testing.py 此文件为测试程序
3）my_reader.py 此文件为预处理程序，把预料送入神经网络之前，要建立词典，为每个字符打标签。
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