The Apache OpenNLP team is pleased to announce the release of version 2.5.5 of Apache OpenNLP.
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, and parsing. The OpenNLP 2.5.5 binary and source distributions are available for download from our download page: https://opennlp.apache.org/download.html The latest set of pre-trained model files for 36 languages is available at the models page: https://opennlp.apache.org/models.html The OpenNLP library is distributed by Maven Central as well. See the Maven Dependency page for more details: https://opennlp.apache.org/maven-dependency.html Changes in this version: In total, this release tackles 27 issues, brings multiple dependency updates, bug fixes (e.g. OPENNLP-1545), and several additions. Accessing (computed) probabilities is now possible in thread-safe probabilistic ME classes via the probs() method (OPENNLP-1757). Loading of pre-trained OpenNLP (UD) models from the classpath was made (even) easier (see: OPENNLP-1729). The 2.5.5 release relies on version 1.3 of the opennlp-models, providing access to pre-trained models for a total of 36 languages. For a full list of improvements, please see the items in Jira: https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12311215&version=12355873 — The Apache OpenNLP Team
