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by @danabra.mov
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by @jimpick.com
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Really excited about this work w/ my long-time collaborators at Boulder! We address limitations in existing morphosyntactic annotation systems for digitally under-resourced languages and show how *jointly* predicting morphological segmentation helps with glossing performance
2mo
Excited to announce that the PolyGloss paper has been accepted to @aclmeeting.bsky.social! Previously, we trained models to help in endangered language documentation workflows by automatically predicting interlinear glosses. But real-world user studies revealed crucial issues...
2mo
michael ginn
Lindia Tjuatja