Stanza

Stanza is a production-ready Python NLP library developed by Stanford NLP that provides accurate linguistic analysis including tokenization, part-of-speech tagging, named entity recognition, dependency parsing, and coreference resolution for over 70 languages. Built on neural network models trained on Universal Dependencies corpora, Stanza delivers state-of-the-art accuracy on multilingual NLP benchmarks with a clean, consistent Python API. NLP researchers, computational linguists, and data scientists working with multilingual text use Stanza for linguistically accurate analysis that general-purpose NLP libraries struggle to match across non-English languages.