Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars

EAMT 2022  ·  Arda Tezcan ·

This project aims to study the impact of adapting neural machine translation (NMT) systems through translation exemplars, determine the optimal similarity metric(s) for retrieving informative exemplars, and, verify the usefulness of this approach for domain adaptation of NMT systems.

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