ERC Consolidator Grant · 2021
Natural Language Understanding for non-standard languages and dialects
Dialects are ubiquitous and for many speakers are part of everyday life. They carry important social and communicative functions. Yet, dialects and non-standard languages in general are a blind spot in research on Natural Language Understanding (NLU). Despite recent breakthroughs, NLU still fails to take linguistic diversity into account. This lack of modeling language variation results in biased language models with high error rates on dialect data. This failure excludes millions of speakers today and prevents the development of future technology that can adapt to such users. To account for linguistic diversity, a paradigm shift is needed: Away from data-hungry algorithms with passive…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.