文件名称:PoS-Tagging-based-on-HMM
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基于隐马尔科夫的中文词性标注系统的C++源代码，包括训练集和测试集语料库，单词量和词性数目都没有写死，可适应任意大的训练和测试数据集，程序已经过优化，一次标注只需要不到10秒的时间。-Based on Hidden Markov of the Chinese part of speech tagging system in C++ source code, including the training set and test set corpus, vocabulary and speech numbers are not coded, can be adapted to arbitrarily large training and test data sets, the program has been optimized, a mark only need less than 10 seconds.
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下载文件列表
PoS Tagging based on Hidden Markov Model\HMM_PoS_Tagging\HMM.cpp
........................................\...............\HMM.h
........................................\...............\HMM_PoS_Tagging.cpp
........................................\...............\HMM_PoS_Tagging.vcxproj
........................................\...............\HMM_PoS_Tagging.vcxproj.filters
........................................\...............\HMM_PoS_Tagging.vcxproj.user
........................................\...............\testing data.txt
........................................\...............\Text_Processing.cpp
........................................\...............\Text_Processing.h
........................................\...............\training data.txt
........................................\HMM_PoS_Tagging.sln
........................................\HMM_PoS_Tagging.suo
........................................\HMM_PoS_Tagging
PoS Tagging based on Hidden Markov Model
........................................\...............\HMM.h
........................................\...............\HMM_PoS_Tagging.cpp
........................................\...............\HMM_PoS_Tagging.vcxproj
........................................\...............\HMM_PoS_Tagging.vcxproj.filters
........................................\...............\HMM_PoS_Tagging.vcxproj.user
........................................\...............\testing data.txt
........................................\...............\Text_Processing.cpp
........................................\...............\Text_Processing.h
........................................\...............\training data.txt
........................................\HMM_PoS_Tagging.sln
........................................\HMM_PoS_Tagging.suo
........................................\HMM_PoS_Tagging
PoS Tagging based on Hidden Markov Model