Wong, Lidia S. Chao, Yiming Wang, and Francisco Oliveira. 2014. Combining Domain Adaptation Approaches for Medical Text Translation. In Proceedings of the Ninth ...
A number of simple and effective techniques to adapt statistical machine translation systems in the medical domain and these systems achieve the best BLEU ...
Jan 25, 2016 · This paper explores a number of simple and effective techniques to adapt statistical machine translation (SMT) systems in the medical domain ...
This paper explores a number of simple and effective techniques to adapt statistical machine translation (SMT) systems in the medical domain. Comparative ...
Due to the lack of ideal resources, few researchers have investigated how to improve the machine translation (MT) of conversational materials by exploiting ...
Our work investigates two accessible approaches to derive biomedical language models in languages other than English, taking Italian as a concrete use-case.
2.2. Combination Methods. The existing domain adaptation methods can be summarized into two broad categories: (i) corpus level by selecting, joining, or ...
This article does explore single-domain adaptation, but also the development of systems that can translate text from multiple domains: multi-domain translation.
We investigate machine translation (MT) of user search queries in the context of cross-lingual information retrieval (IR) in the medical domain.
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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 ...