Library/stanza
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stanfordnlp/stanza

stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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stanfordnlp

stanfordnlp

stanfordnlp • individual

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Created

Sep 26, 2017

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README Summary

Stanza is Stanford's official Python NLP library that provides neural network-based natural language processing tools for over 60 human languages. It offers tokenization, sentence segmentation, part-of-speech tagging, lemmatization, dependency parsing, and named entity recognition capabilities. The library is designed to be easy to use while providing state-of-the-art accuracy for multilingual text processing tasks.

AI Dev Skills

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Natural Language ProcessingNamed Entity RecognitionSyntactic ParsingTokenizationSentence SegmentationPart-of-Speech TaggingDependency ParsingMultilingual NLPNeural Network Text ProcessingMorphological Analysis

Tags

Natural Language ProcessingNamed Entity RecognitionSyntactic ParsingTokenizationSentence SegmentationPart-of-Speech TaggingDependency ParsingMultilingual NLPNeural Network Text ProcessingMorphological AnalysisMultilingual Text ProcessingSmall Language ModelsSelf-hostedInformation ExtractionContent AnalysisTextText Preprocessing for ML PipelinesLinguistic ResearchOn-premiseDocument AnalysisMultilingual AILanguage UnderstandingOn-device AIText MiningCloud APIPython

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Updated 25 days ago

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production
Quality
high
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production

Categories

MLOps & InfrastructurePrimaryLearning ResourcesNLP & TextML Platform & InfrastructureEdge & Mobile AISearch & KnowledgeOther AI / MLComputer Vision

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Scale & ReliabilityDeveloper Platform

Languages

Python100.0%

Timeline

Project created
Sep 26, 2017
Forked
Mar 22, 2026
Your last push
25 days ago
Upstream last push
8 days ago
Tracked since
Mar 20, 2026

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