AI software makers Explosion announced version 3.0 of spaCy, their open-source natural-language processing (NLP) library. The new release includes state-of-the-art Transformer-based pipelines and pre- ...

If you haven’t used spaCy for a while, you may be surprised to see how well it has kept up with the bleeding edge of modern NLP techniques, with pipelines based on pre-trained Transformer models ...

spaCy is a newer library, with its version 1.0 released in 2016. spaCy supports over 72 languages and publishes its performance benchmarks, and it has amassed more than 25,000 stars on GitHub.

SpaCy is faster and less resource-intensive than other NLP libraries. The library has been around longer and recently added the capability to natively support transformer-based models.

spaCy: A fast, production-ready NLP library with built-in support for entity recognition, POS tagging, and dependency parsing. NLTK: Offers classic NLP tools like tokenization, stemming, and ...

SpaCy. SpaCy is a fast and efficient NLP library for Python. It is designed to be easy to use and provides tools for entity recognition, part-of-speech tagging, dependency parsing and more.

SpaCy and Hugging Face, meanwhile, were chosen to be the source for the models offered via its API based on their track record as companies, the NLP libraries they offer and their focus on ...