spaCy
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About
spaCy is an industrial-strength natural language processing library in Python designed to help build real products and gather real insights. It excels at large-scale information extraction tasks with blazing fast speed due to its memory-managed Cython implementation. The library has a large ecosystem and offers features such as support for 75+ languages, pretrained word vectors, a production-ready training system, and custom components. It offers components for named entity recognition, part-of-speech tagging, dependency parsing, and text classification, along with built-in visualizers and easy model packaging.
Platform
Task
Features
• production-ready training system
• linguistically-motivated tokenization
• state-of-the-art speed
• pretrained word vectors
• multi-task learning with pretrained transformers like bert
• 84 trained pipelines for 25 languages
• support for 75+ languages
• named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking and more components ava
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