Treat is a toolkit for natural language processing and computational linguistics in Ruby. The Treat project aims to build a language- and algorithm- agnostic NLP framework for Ruby with support for tasks such as document retrieval, text chunking, segmentation and tokenization, natural language parsing, part-of-speech tagging, keyword extraction and named entity recognition.

Warning

Things are moving fast these days - the master branch might be unstable for a period of time.

Current features

• Text extractors for PDF, HTML, XML, Word, AbiWord, OpenOffice and image formats (Ocropus).
• Text retrieval with indexation and full-text search (Ferret).
• Text chunkers, sentence segmenters, tokenizers, and parsers (Stanford & Enju).
• Word inflectors, including stemmers, conjugators, declensors, and number inflection.
• Lexical resources (WordNet interface, several POS taggers for English).
• Language, date/time, topic words (LDA) and keyword (TF*IDF) extraction.
• Serialization of annotated entities to YAML, XML or to MongoDB.
• Visualization in ASCII tree, directed graph (DOT) and tag-bracketed (standoff) formats.
• Linguistic resources, including language detection and tag alignments for several treebanks.
• Machine learning (decision tree, multilayer perceptron, linear, support vector machines).

Resources

• Read the latest documentation.
• See how to install Treat.
• Learn how to use Treat.
• Help out by contributing to the project.
• View a list of papers about tools included in this toolkit.
• Open an issue.

License

This software is released under the GPL License and includes software released under the GPL, Ruby, Apache 2.0 and MIT licenses.