SpaCy: Industrial-Strength Natural Language Processing (NLP) in Python

Summary

spaCy: Industrial-strength NLP spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. spaCy comes with pretrained pipelines and currently supports tokenization and training for 70+ languages. It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition, text classification and more, multi-task learning with pretrained transformers like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. spaCy is commercial open-source software, released under the MIT license. 💫 Version 3.8 out now! Check out the release notes here. 📖 Documentation 💬 Where to ask questions The spaCy project is maintained by the spaCy team. Please understand that we won't be able to provide individual support via email. We also believe that help is much more valuable if it's shared publicly, so that more people can benefit from it. Features Support for 70+ languages Trained pipelines for different languages and tasks for different languages and tasks Multi-task learning with pretrained transformers like BERT like BERT Support for pretrained word vectors and embeddings and embeddings State-of-the-art speed Production-ready training system Linguistically-motivated tokenization Components for named entity recognition , part-of-speech-tagging, dependency parsing, sentence segmentation, text classification , lemmatization, morphological analysis, entity linking and more , part-of-speech-tagging, dependency parsing, sentence segmentation, , lemmatization, morphological analysis, entity linking and more Easily extensible with custom components and attributes and attributes Support for custom models in PyTorch , TensorFlow and other frameworks , and other frameworks Built in visualizers for syntax and NER for syntax and NER Easy model packaging , deployment and workflow manageme...