Apache OpenNLP

Apache OpenNLP is an open source and completely free software library designed to act as a toolkit, based on machine learning, that can be used for NLP (Natural Language Processing).

Being designed to process natural language text, Apache OpenNLP supports the most common NLP tasks, such as sentence segmentation, tokenization, part-of-speech tagging, chunking, coreference resolution, named entity extraction, and parsing.

However, these tasks are usually required to create complex text processing services. Apache OpenNLP also includes maximum perceptron and entropy based machine learning.

Apache OpenNLP is distributed as a standalone application by the Apache Software Foundation.

What is new in this release:

• This release contains a couple of new features, improvements and bug fixes. The CLI has been improved for a better consistency. Now the tools supports extensions that can be configured from the model, including customized context generators and validators.
• Additionally the release contains the following noteworthy changes:
• Porter Stemmer tool
• L-BFGS parameter estimation
• Improved documentation
• Fine-grained POSTagger evaluation report
• Improved support to load user provided feature generator and context validation classes from OSGi environment
• A detailed list of the issues related to this release can be found in the release notes.
• For a complete list of fixed bugs and improvements please see the RELEASE_NOTES file included in the distribution.

Requirements:

• Java 2 Standard Edition Runtime Environment