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Natural language processing tools Lê Đức Trọng 1.

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Presentation on theme: "Natural language processing tools Lê Đức Trọng 1."— Presentation transcript:

1 Natural language processing tools Lê Đức Trọng 1

2 Crawler and Parser tools Crawler tools: Crawler 4j: http://code.google.com/p/crawler4j/http://code.google.com/p/crawler4j/ httpClient: http://hc.apache.org/httpclient-3.x/http://hc.apache.org/httpclient-3.x/ Parser tools: htmlParser: http://htmlparser.sourceforge.net/http://htmlparser.sourceforge.net/ Jsoup html parser: http://jsoup.org/http://jsoup.org/ Neko html parser: http://nekohtml.sourceforge.net/http://nekohtml.sourceforge.net/ 2

3 Vietnamese NLP – Tools JVnTextPro: http://sourceforge.net/projects/jvntextpro/http://sourceforge.net/projects/jvntextpro/ Sentence Segmentation, Sentence Tokenization, Word Segmentation, POS-Tagging VnToolkit: http://www.loria.fr/~lehong/softwares.phphttp://www.loria.fr/~lehong/softwares.php An automatic tagger for Vietnamese texts A tokenize for automatic word segmentation of Vietnamese texts A sentence detector for automatic detecting sentences of Vietnamese texts VLSP Tools: http://vlsp.vietlp.org:8080/demo/?page=resources http://vlsp.vietlp.org:8080/demo/?page=resources Vietnamese Chunking 3

4 NLP Toolkits LingPipe: http://alias-i.com/lingpipe/http://alias-i.com/lingpipe/ Find the names of people, organizations or locations in news Automatically classify Twitter search results into categories Suggest correct spellings of queries Mallet - Machine Learning for Language Toolkit: http://mallet.cs.umass.edu/ http://mallet.cs.umass.edu/ Statistic, document classification, clustering, topic modeling, information extraction Stanford NLP softwares: http://www-nlp.stanford.edu/software/http://www-nlp.stanford.edu/software/ Word segmentation, part-of-speech tagging, named entity recognition, chunking, parsing, classification and coreference resolution NLTK: http://www.nltk.org/http://www.nltk.org/ Open source Python modules, linguistic data and documentation for research and development in natural language processing and text analytics. OpenNLP: http://opennlp.apache.org/http://opennlp.apache.org/ Tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution 4

5 Machine learning libraries Conditional random fields (CRF) CRF: http://crf.sourceforge.net/http://crf.sourceforge.net/ Maximum entropy (Maxent) OpenNLP, Mallet Support vector machine (SVM) libSVM: http://www.csie.ntu.edu.tw/~cjlin/libsvm/http://www.csie.ntu.edu.tw/~cjlin/libsvm/ svmLight: http://svmlight.joachims.org/http://svmlight.joachims.org/ 5


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