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[Other resourcePOSTagger

Description: (1)从已经标注好词性的语料中统计得到词性标记的二元转移矩阵,以及每个词以确定的词性标记出现的次数等数据(训练阶段) (2)利用动态规划算法快速选取词性标记路径,得到词性标记结果 (3)可以选择不同的词性标记集 -(1) from the good part-of-speech tagging has been the Corpus statistics to be part of speech marking the transfer of binary matrix, and every word to identify the markings of POS data, such as the number (training phase) (2) using dynamic programming algorithm is fast POS markers selected path, to be part-of-speech tags Results (3) can choose different POS tagset
Platform: | Size: 773120 | Author: 赵阳 | Hits:

[Technology ManagementPOS_tagging_and_HMM

Description: 词性标注与隐马尔可夫模型.ppt,相当好的说明材料。-part-of-speech tagging and Hidden Markov Model. Ppt, very good descriptive material.
Platform: | Size: 149504 | Author: 郝云龙 | Hits:

[MultiLanguage07S051098

Description: 通过隐马尔可夫模型做词性标注,即给定一个句子,得到它的最优词性序列-To do through the Hidden Markov Model-of-speech tagging, that is, given a sentence, be it the optimal part of speech sequence
Platform: | Size: 6144 | Author: 寒假 | Hits:

[MultiLanguageAutoSummary-0.1.0a-src.tar

Description: AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis. -AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.
Platform: | Size: 49152 | Author: 何为 | Hits:

[Software Engineeringthe-application-and-research-based-on-dsp-speech-p

Description: 本文针对语音识别处理系统中面临的主要问题和关键点,利用语音处 理系统对语音处理的一些关键点进行讨论研究。并且利用一些基本算法对语音 处理的部分参数进行实验。 -In this paper, speech recognition systems deal with major issues and key points, use of voice processing systems to handle voice some of the key points in my research. And use some of the basic algorithm to deal with part of speech parameters of the experiment.
Platform: | Size: 2975744 | Author: xcs | Hits:

[AI-NN-PRspeech-recognition

Description: Intel开发的IPP库的应用实例,包含语音识别的部分。学习IPP库和语音的同志必看-Intel developed the application of IPP library contains part of speech recognition. Learning IPP library and voice comrades must-see
Platform: | Size: 407552 | Author: algernon | Hits:

[Communication-MobileSpeechcodingtechnologyanalysisandapplication

Description: 对语音编码技术的特点进行了分析与研究, 对波形编码、声码器和混合编码三种主要 的语音编码进行了比较, 并介绍了GSM 和CDMA 两种系统语音编码及部分常用语音编码芯 片, 指出了语音编码技术的发展趋势, 并根据矿井井下特点, 对矿井通信系统所采用的语音 编码技术进行了研究, 最后得出了几点有用的结论.-Of speech coding technology characteristics of the analysis and research on waveform coding, vocoder and mixed encoding three major speech coding are compared, and introduced the GSM and CDMA both types of systems commonly used part of speech coding and speech coding chip pointed out that the speech coding technology, development trends, and in accordance with the characteristics of the mine pit of the mine communication system used in speech coding technology for the study came to the conclusion that some useful conclusions.
Platform: | Size: 188416 | Author: 王萍 | Hits:

[Audio program35738632Skin++crake

Description: 中文词性标注子程序第一步,将测试文本加入词性标记集、词语标记集、标记同现集,VFP源码.. -Chinese POS Tagging subroutine first step, the text will be tested by adding part of speech tag set, the word tag set, tag with the current set, VFP source ..
Platform: | Size: 12288 | Author: 金凤龙 | Hits:

[Windows DevelopPart_Of_Speech_Label

Description: JAVA实现的基于隐马尔科夫模型的词性标注。有指导的学习,附带语料,供参考-JAVA realization of hidden Markov model based on the part of speech tagging. Guided learning, incidental corpus, for reference
Platform: | Size: 7090176 | Author: yangwei | Hits:

[JSP/Javalingpipe-3.6.0

Description: 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能,包括主题分类(Top Classification)、命名实体识别(Named Entity Recognition)、词性标注(Part-of Speech Tagging)、句题检测(Sentence Detection)、查询拼写检查(Query Spell Checking)、兴趣短语检测(Interseting Phrase Detection)、聚类(Clustering)、字符语言建模(Character Language Modeling)、医学文献下载/解析/索引(MEDLINE Download, Parsing and Indexing)、数据库文本挖掘(Database Text Mining)、中文分词(Chinese Word Segmentation)、情感分析(Sentiment Analysis)、语言辨别(Language Identification)等API。-A natural language processing of the Java open-source toolkit. LingPipe currently have a lot of useful features, including Subject Classification (Top Classification), Named Entity Recognition (Named Entity Recognition), part of speech tagging (Part-of Speech Tagging), sentence detection problem (Sentence Detection), spell-checking query (Query Spell Checking), interest in the phrase detection (Interseting Phrase Detection), Cluster (Clustering), Character Modeling Language (Character Language Modeling), medical literature to download/analysis/index (MEDLINE Download, Parsing and Indexing), text mining database (Database Text Mining), Chinese word segmentation (Chinese Word Segmentation), emotional analysis (Sentiment Analysis), language identification (Language Identification), such as API.
Platform: | Size: 4669440 | Author: 张国栋 | Hits:

[Other resourceCRF++-0.51

Description: CRF++5.01,条件随机场,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,实现环境为C语言。-CRF++ 5.01, conditions with the airport, very good very popular with a text classification software, can be used in natural language processing, labeling, sorting, part of speech that the realization of the environment for C language.
Platform: | Size: 744448 | Author: 陈先开 | Hits:

[MultiLanguageCRF1-2

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.
Platform: | Size: 2252800 | Author: 陈先开 | Hits:

[Speech/Voice recognition/combinedetectendpoint1

Description: 计算过零率,短时能量,调整能量门限,端点检测都是语音信号当中不可缺少的部分-Calculation of zero-crossing rate, short-term energy and adjust the energy threshold, endpoint detection of speech signals which are an integral part of
Platform: | Size: 1024 | Author: 王文姝 | Hits:

[Speech/Voice recognition/combinepreprocess0

Description: 语音信号处理前的预处理部分,包括预加重,分frame,加窗,是语音信号编程入门的一个很好的参考程序-Speech signal processing part of the pre-pre-treatment, including pre-emphasis, sub-frame, plus window, the speech signal a good entry-programming reference procedures
Platform: | Size: 1024 | Author: 张阳 | Hits:

[File OperateposTagger

Description: thish file include Part-of-Speech tegger text in natural language prossesing
Platform: | Size: 8192 | Author: rajab | Hits:

[MultiLanguagePOStag

Description: 词性标注。首先根据预料库训练模型,然后用得到的模型对未标记词性的语句进行词性标注。-Part of Speech Tagging. First, according to the training model is expected to libraries, and then get the model right part of speech of the statement is not marked for POS Tagging.
Platform: | Size: 8878080 | Author: 秦佳佳 | Hits:

[Windows Develop2

Description: c#中文分词源码,基于词频,词性等,可提取自定义数量的关键词-Chinese word c# source code, based on word frequency, part of speech, can customize the number of keywords extracted
Platform: | Size: 10486784 | Author: spkl | Hits:

[Speech/Voice recognition/combinespeech-emotion-recognition-system

Description: gmm模型下的语音情感识别系统,GMM只是一个数学模型,只是对数据形态的拟和,但是和你所看到的数据分布存在出入也是正常的,因为用EM估计GMM的那些参数时,一般假设我们所得到的数据是不完备的(也就是说假设我们看到的数据分布不是真正的分布,它在运算时把那部分丢失或者叫隐藏的数据“补”上了)-gmm model speech emotion recognition system, GMM is a mathematical model, but fitting the data form, but you can see there is access to the data distribution is normal, because those with the EM estimated GMM parameters, the general assumption we get the data is incomplete (that is, assuming we see the distribution of the data distribution is not real, it is part of the operation at the time that is lost or hidden data is called " fill" on the)
Platform: | Size: 11264 | Author: 张忠顺 | Hits:

[Windows DevelopChinese-part-of-speech-tagging

Description: 自然语言处理中汉语词性标注的C程序以及实例实验,-Chinese part-of-speech tagging C++ program as well as instances of experimental
Platform: | Size: 15177728 | Author: zhoubo | Hits:

[SCMspeech-recognition-system-

Description: 该项目主要以语音识别技术为支持,实现通过不同的语音命令达到控制蜡像做出相应的动作和反应。项目主要分为两个系统:语音识别系统和蜡像的动作控制系统,其中后者的硬件工作已经基本完成,只需在与语音识别部分结合时做软件上的编写和考虑,因而项目重心在语音识别技术上。-The project mainly take the speech recognition technology for support, so as to realize the different voice commands to control wax to make corresponding action and reaction. Project is divided to two systems: speech recognition system and the wax of the motion control system, including the hardware work has been basically completed, only when combined with part of speech recognition software on the preparation and consideration, and project focus on speech recognition technology.
Platform: | Size: 4717568 | Author: 袁丁 | Hits:
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