English

HuSpaCy: an industrial-strength Hungarian natural language processing toolkit

Computation and Language 2022-01-12 v2 Machine Learning

Abstract

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.

Keywords

Cite

@article{arxiv.2201.01956,
  title  = {HuSpaCy: an industrial-strength Hungarian natural language processing toolkit},
  author = {György Orosz and Zsolt Szántó and Péter Berkecz and Gergő Szabó and Richárd Farkas},
  journal= {arXiv preprint arXiv:2201.01956},
  year   = {2022}
}

Comments

Camera-ready manuscript: - Fixed various grammatical error. - Restructured the evaluation section. - Updated scores in accordance with the v0.4.2 release

R2 v1 2026-06-24T08:41:41.207Z