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cs.CL2025
Toward Conversational Hungarian Speech Recognition: Introducing the BEA-Large and BEA-Dialogue Datasets
Máté Gedeon, Piroska Zsófia Barta, Péter Mihajlik +3
The advancement of automatic speech recognition (ASR) has been largely enhanced by extensive datasets in high-resource languages, while languages such as Hungarian remain underrepr…
cs.CL2025
A Comparative Analysis of Static Word Embeddings for Hungarian
Máté Gedeon
This paper presents a comprehensive analysis of various static word embeddings for Hungarian, including traditional models such as Word2Vec, FastText, as well as static embeddings…
cs.CL2025
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction
Máté Gedeon
Speech Event Extraction (SpeechEE) is a challenging task that lies at the intersection of Automatic Speech Recognition (ASR) and Natural Language Processing (NLP), requiring the id…