spaCy
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About
spaCy is a powerful and efficient Natural Language Processing library built in Python, designed to help users accomplish real work like building products or extracting insights. It integrates well with machine learning frameworks, supporting over 75 languages and offering a wealth of features including named entity recognition, part-of-speech tagging, dependency parsing, and text classification. With an emphasis on speed and robust accuracy, spaCy is suitable for processing extensive data and can easily integrate with other components and workflows. It provides installation simplicity, a productive API, and a large ecosystem of plugins since its 2015 launch. Recent updates include features for integrating Large Language Models, custom pipelines from core developers, and innovative training system configurations.
Platform
Features
• support for 75+ languages
• easily extensible with custom components
• powerful visualizers for syntax and ner
• custom models with pytorch and tensorflow support
• robust accuracy and evaluation
• production-ready training system
• pretrained word vectors
• integration with bert-like transformers
• 84 trained pipelines
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