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The DIALECT project aims to improve Natural Language Understanding by integrating dialectal variations and addressing biases in language models. It focuses on developing algorithms that can learn from limited data and human uncertainty, ultimately enhancing technology for diverse language speakers.
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 to…
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
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