Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing (2024.emnlp-main)
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| Challenge: | a paper addresses the data scarcity problem in automated glossing for low-resource languages . traditional manual documenting is laborintensive and a lack of data is limiting the accuracy of glossing . |
| Approach: | They propose to integrate token-level and sentence-level translations into models and integrate available dictionary resources into the model. |
| Outcome: | The proposed model improves word-level accuracy by 5% on the lowest-resource language Gitksan . the authors also show that the model improve on a simulated low-resourced language with fewer than 100 glossed sentences . |
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