arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2201.01956cs.CLstat.ML
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HuSpaCy: an industrial-strength Hungarian natural language processing toolkit

Institute of Informatics, University of Szeged(塞格德大学信息学研究所)

György Orosz, Zsolt Szántó, Péter Berkecz, Gergő Szabó, Richárd Farkas

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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