A jointly trained multilingual seq2seq model (PolyGloss) predicts morphological segmentation and glosses together, achieving lower morpheme error rates than GlossLM and open LLMs while giving perfectly aligned outputs in its interleaved format.
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Massively Multilingual Joint Segmentation and Glossing
A jointly trained multilingual seq2seq model (PolyGloss) predicts morphological segmentation and glosses together, achieving lower morpheme error rates than GlossLM and open LLMs while giving perfectly aligned outputs in its interleaved format.