Download JAR files tagged by segmenter with all dependencies

A dictionary and grammar-based Chinese segmenter.

Stock OpenNLP sentence segmenter models.

CWIKIUS-OSSEZ dictionary and grammar-based Chinese segmenter.

Latvian domain name (noun compound) segmenter and word2vec distsim alternative generator

Information extraction is the process of identifying specified classes of entities, relations, and events in natural language text – creating structured data from unstructured input. JET, the Java Extraction Toolkit, developed at New York University over the past fifteen years, provides a rich set of tools for research and education in information extraction from English text. These include standard language processing tools such as a tokenizer, sentence segmenter, part-of-speech tagger, name tagger, regular-expression pattern matcher, and dependency parser. Also provided are relation and event extractors based on the specifications of the U.S. Government's ACE [Automatic Content Extraction] program. The program is provided under an Apache 2.0 license.