STANZA
Multilingual NLP library from Stanford
ABOUT
Processing natural language across multiple languages requires accurate tokenization, part-of-speech tagging, lemmatization, dependency parsing, and named entity recognition — tasks typically handled by separate, language-specific tools. Stanza solves this by providing a unified Python library that covers the full NLP pipeline for over 70 languages using neural models trained on Universal Dependencies data. Built on PyTorch and developed by the Stanford NLP group, it combines state-of-the-art accuracy with a clean API that lets developers go from raw text to fully annotated linguistic structures in a few lines of code. For multilingual applications, research, and production systems alike, Stanza eliminates the complexity of managing separate NLP pipelines for each language.
pip install stanza