搜索资源列表
0nlu_project
- 本系统使用java语言编写,采用机器学习的方法进行自然语言处理，对中文进行分词和词性标注。分词采用crf模型，词性标注用hmm模型，解码算法为Vertibi算法。-The system uses java language, using machine learning methods for natural language processing, for Chinese word segmentation and POS tagging. Segmentation using crf mod
Markov
- Java实现的一个隐马尔科夫模型，该模型可用于一般的教学，相比其他的大型的HMM库更容易理解。-A hidden Markov model implemented in Java, this model can be used for general education, compared to other large HMM library easier to understand.
MovieTest
- 改程序为Java实现的一个HMM模型用于经典数据集MovieLens的实践，用于预测人们的观影倾向。-Reform program is a Java implementation of HMM model for classic dataset MovieLens practice, used to predict people s viewing tendencies.
te0228
- 隐马尔科夫模型程序java的详细实现，内容详细-HMM program java achieve
HmmExamine
- HMM程序源码，java编写，可以直接使用-Hidden Markov program
cwsegment-master
- 这是用hmm模型编写的中文分词源码,java 运行环静，只需要解压导入文件，将测试文本更改，便可以测试其效果-This is written in the HMM model of Chinese word segmentation source code, Java running ring is static, only need to unzip the import file, will test the text changes, can then test its effect
New-folder
- 自然语言处理中的隐尔可夫马中文分词方法，利用java实现-NLP, using HMM to automatic word segmentation
javachinesepinyin-master
- 拼音转汉字java实现及汉字转拼音,利用hmm模型实现， 据别纠错功能。-Pinyin to turn Chinese characters Java and Chinese characters to Pinyin, using the HMM model to achieve, according to the error correction function.
em
- em算法介绍:EM算法有很多的应用，最广泛的就是GMM混合高斯模型、聚类、HMM等等(This is the EM algorithm using JAVA, easy to understand, easy to use and helpful for understanding the EM algorithm)