搜索资源列表
Foundations_of_Statistical_Natural_Language_Proces
- standford 大学自然语言处理经典书籍-nlp
Max_Margin_Markov_Networks_(M3Ns)_package.tar
- 这是一个Max Margin Markov Networks (M3Ns)实现包，用于自然语言处理中的序列标识。-Pocket M3N is a simple open source Max Margin Markov Networks (M3Ns) package, developed for practical sequence labeling tasks in NLP research
NLP-Dictionary
- a dictionary for NLP (Natural language Processing) read a training data and compute probability of word
NLP.with.Python
- [使用Python进行自然语言处理].(Natural.Language.Processing.with.Python).S.Bird&E.Klein&E.Loper.文字版-Natural Language Processing with Python.
NLP-with-Python
- 有关python与nlp的学习资料包括python核心编程以及一些python源代码-The python with nlp learning materials including the python core programming and python source code
nlp
- 中文分词程序。NLP课程的程序设计，实现中文分词-Chinese word segmentation program. NLP course program designed to achieve the Chinese word segmentation
nlp
- nlp中的词频统计，功能是统计语料库中的词频。 以及基于隐马尔可夫的音字转换系统-nlp the frequency statistics, the function of word frequency statistics corpus. As well as audio-based Hidden Markov word conversion system
lankasite2
- 兰卡斯特汉语语料库，做NLP、文本处理之类的可以用得上-Lancaster Chinese corpus, NLP can do lingua franca
segmentation
- NLP SEGMENTATION USING A TEXT FILE
SogouC
- 用于NLP cnn文本分类模型的训练数据(Data about Google news classification, size 16M, for CNN Chinese text classification data)
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
ngram模型分词与统计算法
- N-Gram（有时也称为N元模型）是自然语言处理中一个非常重要的概念，通常在NLP中，人们基于一定的语料库，可以利用N-Gram来预计或者评估一个句子是否合理。另外一方面，N-Gram的另外一个作用是用来评估两个字符串之间的差异程度。这是模糊匹配中常用的一种手段。本文将从此开始，进而向读者展示N-Gram在自然语言处理中的各种powerful的应用。(N-Gram (sometimes referred to as N metamodel) is a very important concept
基于维基百科的命名实体消歧的研究与实现_杨雪
- 命名实体消歧涉及到很多的关键技术，包括特征提取、排序、聚 类等。(With the development of information technology, large unstructured data was generated on the network. How to get useful information from these large data, become the problem needed to solve in the NLP field.
img
- this is a basic programme in nlp
inp
- this is just a sample code in nlp
stm
- this is just a sample code to run in nlp
my
- this is just a sample code to run for beginners in nlp
kl
- this code is completely for those who are free and beginning nlp
jkl
- this code is completely for beginners in nlp
爬取热门微博评论并进行数据分析、nlp情感分析
- 爬取热门微博评论并进行数据分析、nlp情感分析 xuenlp.py功能包含： 读取数据库并进行数据去重 对微博评论进行情感分析并生成统计结果 统计微博评论中的表情排行 统计微博评论中的粉丝排行前20(Crawl popular microblog comments and do data analysis and NLP sentiment analysis Xuenlp.py functions include: Read the database and de-duplicat