Papers with context-aware translation model

1 papers
On Search Strategies for Document-Level Neural Machine Translation (2023.findings-acl)

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Challenge: Document-level neural machine translation models produce a more consistent output across a document . however, the exact decoding strategy is often not described and not mentioned at all.
Approach: They propose to use standard automatic metrics and specific linguistic phenomena to compare different decoding schemes.
Outcome: The proposed decoding strategies perform similar to each other on three standard document-level translation benchmarks.

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