2024
NAACL
NAACL 2024
Highly Granular Dialect Normalization and Phonological Dialect Translation for Limburgish
Abstract
AbstractWe study highly granular dialect normalization and phonological dialect translation on Limburgish, a non-standardized low-resource language with a wide variation in spelling conventions and phonology. We find improvements to the traditional transformer by embedding the geographic coordinates of dialects in dialect normalization tasks and use these geographically-embedded transformers to translate words between the phonologies of different dialects. These results are found to be consistent with notions in traditional Limburgish dialectology.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing