Papers with context-aware MT models
Analysing concatenation approaches to document-level NMT in two different domains (D19-65)
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| Challenge: | a recent study has shown that discourse-related biases affect neural MT performance. |
| Approach: | They propose a comparative evaluation scheme that contrasts coherent context with artificially scrambled documents and absent context. |
| Outcome: | The proposed evaluation scheme contrasts coherent context with artificially scrambled documents and absent context on two popular datasets. |
When Does Translation Require Context? A Data-driven, Multilingual Exploration (2023.acl-long)
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| Challenge: | Recent studies in context-aware MT attempt to target a small set of discourse phenomena during evaluation, however not in a fully systematic way. |
| Approach: | They develop a multilingual discourse-aware benchmark to evaluate model performance on discourse phenomena in a given dataset. |
| Outcome: | The proposed model improves on previously studied phenomena while uncovering others which were not addressed. |