References & Citations
Computer Science > Computation and Language
Title: Modeling Orthographic Variation in Occitan's Dialects
(Submitted on 30 Apr 2024)
Abstract: Effectively normalizing textual data poses a considerable challenge, especially for low-resource languages lacking standardized writing systems. In this study, we fine-tuned a multilingual model with data from several Occitan dialects and conducted a series of experiments to assess the model's representations of these dialects. For evaluation purposes, we compiled a parallel lexicon encompassing four Occitan dialects. Intrinsic evaluations of the model's embeddings revealed that surface similarity between the dialects strengthened representations. When the model was further fine-tuned for part-of-speech tagging and Universal Dependency parsing, its performance was robust to dialectical variation, even when trained solely on part-of-speech data from a single dialect. Our findings suggest that large multilingual models minimize the need for spelling normalization during pre-processing.
Submission history
From: Zachary William Hopton [view email][v1] Tue, 30 Apr 2024 07:33:51 GMT (1543kb,D)
Link back to: arXiv, form interface, contact.