Jointly training a transformer to segment and gloss words, then adding LLM-generated training examples, improves canonical morpheme segmentation for several low-resource languages.
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Learning Beyond Limits: Multitask Learning and Synthetic Data for Low-Resource Canonical Morpheme Segmentation
Jointly training a transformer to segment and gloss words, then adding LLM-generated training examples, improves canonical morpheme segmentation for several low-resource languages.