openNLP

What is openNLP?

Apache's machine learning based toolkit for the processing of natural language text. This toolkit, the Apache OpenNLP library, is written entirely in Java and provides support for common natural language processing (NLP) tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, coreference resolution, and language detection. These tasks are typically necessary to build more advanced text processing services. The goal of the OpenNLP project is to be a mature and comprehensive toolkit for these essential NLP functionalities

Highlights

• Supports a wide range of common NLP tasks, including tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, coreference resolution, and language detection
• Utilizes machine learning-based approaches, including maximum entropy and perceptron models, to enable robust and accurate text processing
• Provides a Java-based implementation, making it accessible and integrable with a variety of software systems
• Aims to be a mature and reliable toolkit for building advanced text processing applications