Open Source Java Linguistics Software

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining.

Learn words in german that you know at your own pace. With this system you can add the words you knew in a day and then do exercises with them. Written by: Jovanny Pablo Cruz Gómez. Computer Engineering Student. IPN, ESIME Culhuacan, Mexico City.

A very simple tool to automate benchmarking tests on MySQL DBs. It fills MySQL tables columns; perform customized tests; and outputs the results on CSV format. It uses Xeger, a java package for generating random text from regular expressions (http://code.google.com/p/xeger/). Xeger uses dk.brics.automaton java package developed by Anders Møller (http://cs.au.dk/~amoeller/automaton/index.html).

The Graph Annotation Framework (GrAF) models linguistic annotations using a data model based on Graph theory and algorithms. The GrAF standard is a work product of ISO TC37SC4 Working Group 1. This Java library is NOT part of the GrAF standard and standoff annotation files produced by the library may not be GrAF compliant.

This project is contains implementations of algorithms to integrate the output of different NLP tools (part of speech taggers, morphologies, parsers, etc.) in order to obtain more accurate, more robust and more fine-grained linguistic analyses. Note that the code is outdated, but left here for documentation purposes. Its functionality may be reimplemented within the NLP2RDF project (http://code.google.com/p/nlp2rdf).