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Learn more by taking a [quick tour](https://github.com/louismullie/treat/wiki/Quick-Tour) or by reading the [manual](https://github.com/louismullie/treat/wiki/Manual).\n\n**Features**\n\n* Text extractors for PDF, HTML, XML, Word, AbiWord, OpenOffice and image formats (Ocropus).\n* Text chunkers, sentence segmenters, tokenizers, and parsers (Stanford \u0026 Enju).\n* Lexical resources (WordNet interface, several POS taggers for English).\n* Language, date/time, topic words (LDA) and keyword (TF*IDF) extraction.\n* Word inflectors, including stemmers, conjugators, declensors, and number inflection.\n* Serialization of annotated entities to YAML, XML or to MongoDB.\n* Visualization in ASCII tree, directed graph (DOT) and tag-bracketed (standoff) formats.\n* Linguistic resources, including language detection and tag alignments for several treebanks.\n* Machine learning (decision tree, multilayer perceptron, LIBLINEAR, LIBSVM).\n* Text retrieval with indexation and full-text search (Ferret).\n\n**Contributing**\n\nI am actively seeking developers that can help maintain and expand this project. You can find a list of ideas for contributing to the project [here](https://github.com/louismullie/treat/wiki/Contributing).\n\n**Authors**\n\nLead developper: @louismullie [[Twitter](https://twitter.com/LouisMullie)]\n\nContributors:\n\n- @bdigital\n- @automatedtendencies\n- @LeFnord\n- @darkphantum\n- @whistlerbrk\n- @smileart\n- @erol\n\n**License**\n\nThis software is released under the [GPL License](https://github.com/louismullie/treat/wiki/License-Information) and includes software released under the GPL, Ruby, Apache 2.0 and MIT licenses.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flouismullie%2Ftreat","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flouismullie%2Ftreat","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flouismullie%2Ftreat/lists"}