Papers by Alexandre Diniz da Costa
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet (2022.lrec-1)
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| Challenge: | Neural models have been advancing in a myriad of tasks, but there is a lack of large training data. |
| Approach: | They propose a method for domain adaptation of Neural Machine Translation systems using a multilingual FrameNet enriched with qualia relations as an external knowledge base. |
| Outcome: | The proposed system outperforms the state-of-the-art commercial system in an experiment . the proposed system substitutes domain-specific terms in the source language by their adequate translation in the target language. |