Abstract
The revolutionary expansion of language technologies (LT) in the last decade and the emergence of neural networks has heavily impacted LT. This is reflected in the development of Hungarian NLP as well, as numerous high-quality LMs, tools and datasets have been created. However, new, huge datasets are still needed to train LMs. Due to being a lesser resourced Uralic language with a smaller number of speakers, Hungarian LT has to face challenges often different from those of large Indo-European languages like English. Here we present a snapshot of this important period in the development of Hungarian LT, with special attention to language resources, and we outline some of the possible next steps.
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Jelencsik-Mátyus, K., Héja, E., Varga, Z., Váradi, T. (2023). Language Report Hungarian. In: Rehm, G., Way, A. (eds) European Language Equality. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-28819-7_20
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DOI: https://doi.org/10.1007/978-3-031-28819-7_20
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-031-28819-7
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