HuSpaCy: an industrial-strength Hungarian natural language processing toolkit

TL;DR

HuSpaCy is an open-source, industrial-strength Hungarian NLP toolkit built on spaCy, offering fast, accurate, and resource-efficient components for core linguistic analysis tasks suitable for real-world applications.

Contribution

It introduces HuSpaCy, a comprehensive, industry-ready Hungarian NLP toolkit that integrates state-of-the-art linguistic analysis with high efficiency and multi-language support.

Findings

High accuracy in linguistic tasks

Resource-efficient prediction capabilities

Open-source and easy to use

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.