… an approach to neural machine translation (… translating. The core idea is to treat text domains
as distinct languages and use multilingual NMT methods to create multidomain translation …

… We investigate the application of Neural Machine Translation … NMT technology in this
unsupervised multi-domain setting, we … The results of our experiments with multi-domain data …

… 3.3 Multi-domain systems In this section, we evaluate several proposals from the literature
on multi-domain adaptation and compare them to full fine-tuning on the one hand, and to two …

… Multidomain Neural Machine Translation (NMT) mainly focuses on using mixed-domain
parallel sentences to construct a unified model that allows translation … on the multi-domain NMT …

… By doing so, it allows our multi-domain NMT model to effectively determine impacts of different
contexts on translation predictions. We demonstrate the effectiveness of this context gate …

… Many multi-domain neural machine translation (NMT) models achieve knowledge transfer
… To overcome this limitation, we propose a novel multi-domain NMT model using individual …

… multi-domain model. This paper presents a dynamic data selection method to multi-domain …
-level features and the employment of a multi-domain curriculum that is additionally able to …

… 5.1 Multi-domain adaptation Table 2 summarizes our multi-domain adaptation results. On
average MDT does not only match, but in fact outperforms the strong top10 (Edunov et al., 2018…

… In this paper, we propose a new efficient method for multi-domain adaptation by learning …
machine translation DoSS outperforms the strong baseline of continue training on multi-domain …

… Learning multilingual and multi-domain translation model is challenging as the heterogeneous
and imbalanced … Hence, we focus more on analyzing the results on multi-domain NMT. …