In this paper, we propose the framework of Domain Differential Adaptation (DDA), where instead of smoothing over these differences we embrace them, directly ...
Oct 7, 2019 · Experimental results on domain adaptation for neural machine translation demonstrate the effectiveness of this strategy, achieving consistent ...
This paper proposes the framework of Domain Differential Adaptation (DDA), where instead of smoothing over differences the authors embrace them, ...
Domain Differential Adaptation for Neural Machine Translation. Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig. Language Technologies Institute, Carnegie ...
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Sep 23, 2022 · In this paper, we propose a non-tuning paradigm, resolving domain adaptation with a prompt-based method.
Missing: Differential | Show results with:Differential
In this thesis we instead explore more robust approaches to domain adaptation for NMT. We consider the case where a system is adapted to a specified domain of ...
Nov 28, 2019 · In the DDA method, we capture the domain difference by two Language Models (LM)s, trained on in-domain (LM-in) and out-of-domain (LM-out) ...
Sep 10, 2024 · We concentrate on more robust approaches to domain adaptation for NMT, particularly the case where a system may need to translate sentences from ...
In domain adaptation for neural machine trans- lation, translation performance can benefit from separating features into domain-specific.
Oct 22, 2024 · We survey approaches to domain adaptation for NMT, particularly where a system may need to translate across multiple domains. We divide ...