21 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 8 cited
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines
György Orosz, Gergő Szabó, Péter Berkecz +2
This paper presents a set of industrial-grade text processing models for Hungarian that achieve near state-of-the-art performance while balancing resource efficiency and accuracy.…
cs.CL2023
Hybrid lemmatization in HuSpaCy
Péter Berkecz, György Orosz, Zsolt Szántó +2
Lemmatization is still not a trivial task for morphologically rich languages. Previous studies showed that hybrid architectures usually work better for these languages and can yiel…
cs.CL2022★ 21 cited
HuSpaCy: an industrial-strength Hungarian natural language processing toolkit
György Orosz, Zsolt Szántó, Péter Berkecz +2
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 pr…