Abstract
This chapter landscapes the field of Language Technology (LT) and language- centric AI by assembling a comprehensive state-of-the-art of basic and applied research in the area. It sketches all recent advances in AI, including the most recent deep learning neural technologies. The chapter brings to light not only where language-centric AI as a whole stands, but also where the required resources should be allocated to place European LT at the forefront of the AI revolution. We identify key research areas and gaps that need to be addressed to ensure LT can overcome the current inequalities.
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Agerri, R. et al. (2023). State-of-the-Art in Language Technology and Language-centric Artificial Intelligence. In: Rehm, G., Way, A. (eds) European Language Equality. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-28819-7_2
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DOI: https://doi.org/10.1007/978-3-031-28819-7_2
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Publisher Name: Springer, Cham
Print ISBN: 978-3-031-28818-0
Online ISBN: 978-3-031-28819-7
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