Description: 能够对文本的内容进行显示功能，并且能够根据客户的需求可以对关键字查找，并显示带有关键字的句子，并且采用句子分割技术进行处理，实现断句功能。即可以把该文章带有此关键字的句子分句显示出来，该软件的使用必须在ODBC中进行相关的设置，详细请看我的说明文档，请大家导入文章时选择txt的文件格式。我目前正在开发更好的文本挖掘工具，如果大家有什么好的建议和想法请发EMAIL给我：andondon-right to the contents of the text for display, and according to the needs of the clients can keyword search, and display with the keyword phrases and sentences using segmentation processing technology to achieve functional Sentences. That can take the article with the keyword this clause of the sentence demonstrated that the software must be used for the ODBC related settings, I Look at the detailed documentation, please choose articles into txt file format. I is currently developing a better text mining tool, if you have any good suggestions and ideas please send email to me : andondon Platform: |
Size: 5708800 |
Author:孙明 |
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Description: Matlab中有关HMM的函数集。给出了详细的源代码，可以用于hMM在各个领域的研究和开发-Matlab the HMM Function Set. Given the detailed source code, hMM can be used in various fields of research and development Platform: |
Size: 26624 |
Author:蒋荣 |
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Description: 基于统计的分词，采用隐马尔可夫模型，并有实验报告-Based on statistics segmentation using hidden Markov models, and there is experimental report Platform: |
Size: 3781632 |
Author:崇丽岩 |
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Description: imdict-chinese-analyzer 是 imdict智能词典 的智能中文分词模块，算法基于隐马尔科夫模型(Hidden Markov Model, HMM)，是中国科学院计算技术研究所的ictclas中文分词程序的重新实现（基于Java），可以直接为lucene搜索引擎提供简体中文分词支持。-imdict-chinese-analyzer is a smart imdict Chinese Dictionary smart module segmentation algorithm based on Hidden Markov Model (Hidden Markov Model, HMM), the Chinese Academy of Sciences Institute of Computing Technology of Chinese word segmentation ictclas process re-implement (based on Java ), can be directly provided for the lucene search engine support for Simplified Chinese word segmentation. Platform: |
Size: 3256320 |
Author:王同 |
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Description: 采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the existing segmentation of image observations for all embedded and internal HMM function, the calculation may be The transformation matrix Platform: |
Size: 11264 |
Author:hulingling |
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Description: 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welch based re-estimation and Viterbi algorithm involved in HMM. it helps much better understand the HMM algorithm and its application for speech recogntion. Platform: |
Size: 1179648 |
Author:wh |
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Description: 实现了中文分词和词性标注程序。分词方法采用“三词正向最长匹配”。词性标注使用HMM方法，用Viterbi算法实现。“三词正向最长匹配”保持了“正向最长匹配算法”快速的特点，同时提高了分词的准确性。-Chinese word segmentation and implemented procedures for POS tagging. Segmentation Methods, " the longest three-match positive words." POS tagging using HMM method, the Viterbi algorithm. " Three words maximum positive match" to maintain a " positive maximum matching algorithm," Fast features, while improving the accuracy of segmentation. Platform: |
Size: 4034560 |
Author:paul |
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Description: A Tutorial on HMMs. 5. Advantage of HMM on Sequential Data ... Model Toolkit). – HMM toolbox for Matlab ... Speech recognition and segmentation. • Gesture .-A Tutorial on HMMs. 5. Advantage of HMM on Sequential Data ... Model Toolkit). – HMM toolbox for Matlab ... Speech recognition and segmentation. • Gesture . Platform: |
Size: 6943744 |
Author:Dima |
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Description: A Tutorial on HMMs. 5. Advantage of HMM on Sequential Data ... Model Toolkit). – HMM toolbox for Matlab ... Speech recognition and segmentation. • Gesture .-A Tutorial on HMMs. 5. Advantage of HMM on Sequential Data ... Model Toolkit). – HMM toolbox for Matlab ... Speech recognition and segmentation. • Gesture . Platform: |
Size: 662528 |
Author:Dima |
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Description: 基于逆向最大匹配算法的分词及基于HMM模型的词性标注系统，包括了未登登录词的识别、数据库的添加等内容。（需要手动修改数据库的路径才可以运行）
-Based on the segmentation of the reverse maximum matching algorithm and the HMM-based POS tagging system, including unadvertised login word recognition, and add the database content. (Need to manually modify the database path can run) Platform: |
Size: 1262592 |
Author:geli |
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Description: 利用HMM，针对《1998年人民日报》语料库进行研究，最终实现了中文语句的自动分词-By HMM, research, and ultimately the Chinese statement for the 1998 People' s Daily " Corpus automatic segmentation Platform: |
Size: 4230144 |
Author:txd |
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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 Platform: |
Size: 2006016 |
Author:lipeng |
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Description: 该程序为在MFC下开发的正向和反向两种中文分词系统。-The program was developed in MFC under both positive and negative Chinese word segmentation system. Platform: |
Size: 2258944 |
Author:Sam Stevent |
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Description: 基于隐马尔科夫模型的中文分词系统，上交ieee专业大一作业，界面一般，主要用于学习，在此分享，注：开发环境python3.5(Based on Hidden Markov model of Chinese word segmentation system, on the IEEE professional freshman job, interface is common, mainly used for learning, in this share, note: development environment python3.5) Platform: |
Size: 50023424 |
Author:Empty_Life
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Description: HMM(隐马尔科夫模型)是自然语言处理中的一个基本模型，用途比较广泛，如汉语分词、词性标注及语音识别等，在NLP中占有很重要的地位(HMM (hidden Markov model) is a basic model in Natural Language Processing, which is widely used, such as Chinese segmentation, part of speech tagging and speech recognition, and plays an important role in NLP) Platform: |
Size: 5120 |
Author:伟大的人啊
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Description: 通过hmm实现中文分词，并且能自动发现新词的功能(The Chinese word segmentation is realized by HMM, and the function of new words can be automatically found) Platform: |
Size: 30041088 |
Author:幻想达人
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Search - HMM segmentation