Abstract
Since the previous META-NET report, there have been significant improvements (e. g., creation of a large Romanian national corpus, steady progress in written language technologies, LT, construction of a national LT portal for the Romanian language etc.), but things are far from what they should be. Support for LT and AI through national programmes is still modest, although there are signs of a more active involvement of policy makers in the strategic planning and funding programmes in this domain. Continued research is required to produce large language models, able to capture the characteristics of the Romanian language. Large language resources need to be created so that AI systems are able to learn from them.
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Păiş, V., Tufiş, D. (2023). Language Report Romanian. In: Rehm, G., Way, A. (eds) European Language Equality. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-28819-7_31
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DOI: https://doi.org/10.1007/978-3-031-28819-7_31
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Publisher Name: Springer, Cham
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