GATE (General Architecture for Text Engineering) is a suite of tools, libraries, and resources for natural language processing (NLP). It is used for a wide variety of tasks, including information extraction, text mining, and sentiment analysis. GATE provides a framework for building and deploying NLP applications, offering components for tasks such as tokenization, part-of-speech tagging, named entity recognition, and co-reference resolution. It is known for its flexibility, extensibility, and ability to integrate with other NLP tools and resources.
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