HuSpaCy: an industrial-strength Hungarian natural language processing toolkit
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Abstract (arXiv)
Although there are a couple of open-source language processing pipelines available for Hungarian, none of them satisfies the requirements of today's NLP applications. A language processing pipeline should consist of close to state-of-the-art lemmatization, morphosyntactic analysis, entity recognition and word embeddings. Industrial text processing applications have to satisfy non-functional software quality requirements, what is more, frameworks supporting multiple languages are more and more favored. This paper introduces HuSpaCy, an industry-ready Hungarian language processing toolkit. The presented tool provides components for the most important basic linguistic analysis tasks. It is open-source and is available under a permissive license. Our system is built upon spaCy's NLP components resulting in an easily usable, fast yet accurate application. Experiments confirm that HuSpaCy has high accuracy while maintaining resource-efficient prediction capabilities.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 4 of its 39 references that are in the map. First posted on arXiv 6 Jan 2022.
Builds on
4 of 39 references.
References · 4
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
- 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
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- 2017Recent Trends in Deep Learning Based Natural Language Processingcited by 262
Built on by
Citing papers per year: 2023: 6; 2024: 1; 2025: 0; 2026: 1.
8 papers.
- 2024The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Modelscited by 29
- 2023Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelinescited by 3
- 2023TreeSwap: Data Augmentation for Machine Translation via Dependency Subtree Swappingcited by 2
- 2023calamanCy: A Tagalog Natural Language Processing Toolkitcited by 2
- 2023HunSum-1: an Abstractive Summarization Dataset for Hungariancited by 1
- 2023Hybrid lemmatization in HuSpaCycited by 1
- 2023Data Augmentation for Machine Translation via Dependency Subtree Swappingcited by 1
- 2026When Discourse Pressures Conflict: Information Structure in Vision-Language Model Outputscited by 0
- 2026When Discourse Pressures Conflict: Information Structure in Vision-Language Model Outputs27 May 2026
- 2024The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models4 Apr 2024
- 2023calamanCy: A Tagalog Natural Language Processing Toolkit13 Nov 2023
- 2023TreeSwap: Data Augmentation for Machine Translation via Dependency Subtree Swapping4 Nov 2023
- 2023Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines24 Aug 2023
- 2023Data Augmentation for Machine Translation via Dependency Subtree Swapping13 Jul 2023
- 2023Hybrid lemmatization in HuSpaCy13 Jun 2023
- 2023HunSum-1: an Abstractive Summarization Dataset for Hungarian1 Feb 2023