搜索资源列表
Chinese-Word-Segment-And-POS-Tagger
- 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 tag
facerecognition
- 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
HMM
- 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
Segmentation
- 用HMM实现的中文分词程序，用C#实现的。-HMM to achieve with the Chinese word segmentation
imdict-chinese-analyzer
- 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
HMMforspeechrecogntion
- 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-Welc
Sfenciie
- 分词程序，HMM模型训练，维特特比解码，有说明文档。可直接使用。 -Segmentation process, HMM model training, Viterbi decoding, and documentation. Complete source code can be used directly.
Rkeyword-choue
- 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 co
fenci
- 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
nlu_project
- 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
matching-Chinese-word-by-HMM-and-MM
- 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.
menmang_v58
- 可以提取一幅图中想要的目标，粒子图像分割及匹配均为自行编制的子例程，完整的基于HMM的语音识别系统。- Target can be extracted in a picture you want, Particle image segmentation and matching subroutines themselves are prepared, Complete HMM-based speech recognition system.
nengqeng_v53
- 中介真值程度度量，基于中介真值程度度量的图像分割完整的基于HMM的语音识别系统，基于负熵最大的独立分量分析。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Complete HMM-based speech recognition system, Based on ne
siesing_v50
- 完整的基于HMM的语音识别系统，粒子图像分割及匹配均为自行编制的子例程，DSmT证据推理的组合公式计算函数。- Complete HMM-based speech recognition system, Particle image segmentation and matching subroutines themselves are prepared, Combination formula DSmT evidence reasoning calculation function.
CWSS17.1.1.4
- 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 en
uqnda
- Signal dimension estimates, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Complete HMM-based speech recognition system.
hmm机器学习
- 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
24.HMM
- 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)
ipcgd
- Three-phase photovoltaic inverter and network simulation, Complete HMM-based speech recognition system, Particle image segmentation and matching subroutines themselves are prepared.
Schmidt-Segmentation (HMM heart sound)-Code-master
- Matlab code for the Schmidt HMM-based heart sound segmentation. An example of the implementation of this code can be found in “run_Example_Schmidt_scr ipt.m”. This code is derived from the paper: S. E. Schmidt et al., "Segmentation of heart s