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Found 4 papers, 3 papers with code
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines
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.
Hybrid lemmatization in HuSpaCy
Lemmatization is still not a trivial task for morphologically rich languages.
HuSpaCy: an industrial-strength Hungarian natural language processing toolkit
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.
The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes
This article reports on a corpus annotation project that has produced a freely available resource for research on handling negation and uncertainty in biomedical texts (we call this corpus the BioScope corpus).
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