Papers with real low-resource language
How Transferable are Attribute Controllers on Pretrained Multilingual Translation Models? (2024.eacl-long)
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| Challenge: | Pretrained multilingual translation models with massive coverage are becoming of the backbone of many translation systems. |
| Approach: | They propose to use a gradient-based inference-time controller to control a pretrained multilingual model by using a model with attribute annotations. |
| Outcome: | The proposed model performs well on pretrained multilingual models and is attribute- rather than language-specific. |
Improving Low-resource RRG Parsing with Cross-lingual Self-training (2022.coling-1)
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| Challenge: | a theoretical framework for low-resource parsing is understudied in computational linguistics but widely used in typological research . a novel approach uses Role and Reference Grammar to parse low-source languages . |
| Approach: | They propose to extend an existing RRG parser into a cross-lingual parsing model . they also adopt self-training to adapt the model to a related language with no trees . |
| Outcome: | The proposed model extends into a cross-lingual parser, and iteratively expands the training data. |