Papers with translation architectures
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison (2024.findings-naacl)
Copied to clipboard
| Challenge: | Existing approaches to extract examples from memory are limited, but the upstream retrieval step is still unexplored. |
| Approach: | They propose to use a standard autoregressive model, edit-based model and a large language model with in-context learning to investigate the effect of retrieval methods on translation scores. |
| Outcome: | The proposed architectures improve translation scores and increase diversity of examples. |