We present Neural Machine Translation (NMT) training using document-level metrics with batch-level documents. Previous sequence-objective approaches to NMT ...
May 4, 2020 · Abstract:We present Neural Machine Translation (NMT) training using document-level metrics with batch-level documents.
Document-based NMT, by contrast, aims to use out-of-sentence context to improve translation. Re- cent research explores lexical consistency by pro- viding ...
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We present Neural Machine Translation (NMT) training using document-level metrics with batch-level documents. Previous sequence-objective approaches to NMT ...
Apr 29, 2021 · Danielle Saunders describe her most recent paper on using context in Minimum Risk Training to improve machine translation tuning and to fix ...
May 4, 2020 · It is demonstrated that training is more robust for document-level metrics than with sequence metrics, and improvements on NMT with TER and ...
Using Context in Neural Machine Translation Training Objectives. Danielle Saunders, Felix Stahlberg, Bill Byrne. Abstract Paper Share · Machine Translation ...
Using Context in Neural Machine Translation Training Objectives. Author. Saunders, Danielle and Stahlberg, Felix and Byrne, Bill. Conference. Proceedings of the ...
May 17, 2024 · In this work, we survey ways that researchers have incorporated context into neural machine translation systems and the evaluation thereof.
Jul 22, 2024 · When training with an extended context, CD is used to discount the part of the loss corresponding to the generation of the target context.