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Description: java based CRF implementation
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Size: 1775548 |
Author: zy_vxd |
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Description: 特征选择算法的改进．．．比较实践证明是个优秀的算法-feature selection algorithm improvements. . . Practice has proved that it is more an outstanding Algorithm
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Size: 2048 |
Author: 陈孟 |
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Description: 基于CRF（conditional random fields)统计模型的文本人名识别工具源代码，是Mallet开放源码项目的一部分-based on CRF (conditional random fields) statistical model of text my name recognition tools source code, open source Mallet is part of the project
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Size: 7473152 |
Author: 陈晶 |
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Description: 一个利用条件随机场（CRF）开发的词性标注工具包-Use of the conditions of a random field (CRF) development kit-of-speech tagging
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Size: 9597952 |
Author: 练睿婷 |
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Description: 这是一个CRF(条件随机域)算法的实现,希望能对从事算法的有些帮助.-This is a CRF (the conditions of random domain) algorithm realize the hope that it can engage in some algorithms to help.
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Size: 2044928 |
Author: 李力 |
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Description: CRF1.2，条件随机场软件包，很好用很流行的一个文本分类软件，可以用于自然 语言的处理，标签，分类，词性发现，用户只需要着重构造特征函数既可以，实验结果和应用表明crf要优于隐马尔科夫模型。实现环境为java语言。-CRF1.2, conditions package with the airport, very good very popular with a text classification software, can be used in natural language processing, labeling, sorting, part of speech found that users only need to focus on structural characteristic function can, experimental results and applications show that the CRF is superior to Hidden Markov Model. Environment for the realization of java language.
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Size: 2252800 |
Author: 陈先开 |
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Description: crf++-0.53.zip CRF++ is a simple, customizable, and open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is designed for generic purpose and will be applied to a variety of NLP tasks, such as Named Entity Recognition, Information Extraction and Text Chunking.
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Size: 467968 |
Author: hanxuedong |
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Description: 基于CRF的中文机构名识别系统。使用北京大学1998年的人民日报语料库作为训练语料。除常用的特征模板，已经词性特征外，使用词语的最后一个字作为特征，提高了机构名识别的准确率, 调用了CRF++程序包训练模型。-CRF-based name recognition system of Chinese institutions. People' s Daily, Peking University in 1998 with corpus as training data. In addition to the characteristics of commonly used templates, has been part of speech features, the last word to use words as features and improve the organization name recognition accuracy, call the CRF++ package training model.
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Size: 26624 |
Author: paul |
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Description: CRF最新java版软件，包含说明文档，由印度工作组负责开发-CRF latest java version of the software, including documentation, by the working group responsible for the development of India
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Size: 32768 |
Author: swling |
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Description: 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。本系统使用java语言编写-Using machine learning methods for natural language processing, carried out on the Chinese word segmentation and POS tagging. Segmentation using crf model, tagging with hmm model, decoding algorithm Vertibi algorithms. The system uses java language
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Size: 2006016 |
Author: lipeng |
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Description: 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 model, hmm model with speech tagging, decoding algorithm Vertibi algorithm.
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Size: 3218432 |
Author: 王瑞 |
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Description: HanLP是一个致力于向生产环境普及NLP技术的开源Java工具包，支持中文分词（N-最短路分词、CRF分词、索引分词、用户自定义词典、词性标注），命名实体识别（中国人名、音译人名、日本人名、地名、实体机构名识别），关键词提取，自动摘要，短语提取，拼音转换，简繁转换，文本推荐，依存句法分析（MaxEnt依存句法分析、神经网络依存句法分析）。-HanLP is a dedicated to popularize NLP technology to production environment of open source Java toolkit, support Chinese word segmentation (N- the most short-circuit participles, index of CRF participles, participles, user-defined dictionaries, part-of-speech tagging), named entity recognition (Chinese name, transliteration, Japan person names, place names, names of entities recognition), keyword extraction, automatic summary, phrase extraction, pinyin conversion, jianfan conversion, text recommended, interdependence syntactic analysis (MaxEnt interdependence syntactic analysis, neural network dependent analysis).
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Size: 22308864 |
Author: 黄灿奕 |
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Description: java版本的crf++ predict过程实现(Implemention of crf++ in java.)
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Size: 21504 |
Author: limingcai |
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