Papers with automatic glossing models

1 papers
Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations (2020.coling-main)

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Challenge: Documentation is not a cure-all for language loss, but it is an important part of language preservation.
Approach: They propose to use multi-source neural models to create automatic glossing models . they also explore cross-lingual transfer and a simple output length control mechanism .
Outcome: The proposed model outperforms state-of-the-art models on low-resource scenarios.

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