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Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

arXiv 2003.07082 ↗First posted 16 Mar 2020cs.CLcited by 719

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Abstract (arXiv)

We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Stanza features a language-agnostic fully neural pipeline for text analysis, including tokenization, multi-word token expansion, lemmatization, part-of-speech and morphological feature tagging, dependency parsing, and named entity recognition. We have trained Stanza on a total of 112 datasets, including the Universal Dependencies treebanks and other multilingual corpora, and show that the same neural architecture generalizes well and achieves competitive performance on all languages tested. Additionally, Stanza includes a native Python interface to the widely used Java Stanford CoreNLP software, which further extends its functionality to cover other tasks such as coreference resolution and relation extraction. Source code, documentation, and pretrained models for 66 languages are available at https://stanfordnlp.github.io/stanza.

Key facts. Cited by 719 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Mar 2020.

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Citing papers per year: 2021: 137; 2022: 122; 2023: 139; 2024: 121; 2025: 107; 2026: 93.

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  7. 2021End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answeringcited by 133
  8. 2023MAGE: Machine-generated Text Detection in the Wildcited by 130
  9. 2023Training Language Models with Language Feedback at Scalecited by 125
  10. 2024MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesiscited by 123
  11. 2021CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarizationcited by 120
  12. 2021LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relationscited by 119
38 more
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  4. 2023The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Textcited by 97
  5. 2021Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Textcited by 89
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  7. 2022RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQLcited by 85
  8. 2022Improving the Factual Correctness of Radiology Report Generation with Semantic Rewardscited by 82
  9. 2021Joint Learning of Localized Representations from Medical Images and Reportscited by 81
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  11. 2023Large language models effectively leverage document-level context for literary translation, but critical errors persistcited by 80
  12. 2021End-to-End Training of Neural Retrievers for Open-Domain Question Answeringcited by 75
  13. 2021Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selectioncited by 75
  14. 2023Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translationcited by 74
  15. 2021Understanding by Understanding Not: Modeling Negation in Language Modelscited by 73
  16. 2021Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformerscited by 71
  17. 2022TweetNLP: Cutting-Edge Natural Language Processing for Social Mediacited by 71
  18. 2021Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processingcited by 68
  19. 2021Knowledge Matters: Radiology Report Generation with General and Specific Knowledgecited by 68
  20. 2021Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoningcited by 64
  21. 2023Contrasting Linguistic Patterns in Human and LLM-Generated News Textcited by 62
  22. 2021Conditional probing: measuring usable information beyond a baselinecited by 61
  23. 2023FactKG: Fact Verification via Reasoning on Knowledge Graphscited by 57
  24. 2021How to Adapt Your Pretrained Multilingual Model to 1600 Languagescited by 54
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  27. 2023Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformationcited by 51
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  29. 2021NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternativescited by 46
  30. 2022Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptationcited by 44
  31. 2021Controlling Hallucinations at Word Level in Data-to-Text Generationcited by 41
  32. 2021When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfercited by 41
  33. 2022Local-Global Context Aware Transformer for Language-Guided Video Segmentationcited by 41
  34. 2021Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledgecited by 40
  35. 2022Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extractioncited by 40
  36. 2021Systematic Generalization with Edge Transformerscited by 38
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  38. 2021Diagnosing Vision-and-Language Navigation: What Really Matterscited by 36

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