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The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.

"The Apache Mahout™ machine learning library's goal is to build scalable machine learning libraries."

"The Open Relevance Project (ORP) is a small Apache LuceneTM sub-project aimed at making materials for doing relevance testing for Information Retrieval (IR), Machine Learning and Natural Language Processing (NLP) into open source."

"TensorFlow is an Open Source Software Library for Machine Intelligence"

"TensorFlow Quantum is a library for hybrid quantum-classical machine learning. TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google's quantum computing frameworks, all from within TensorFlow."

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, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning.