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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 441–450 of 1773 papers

TitleStatusHype
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan—0
Boosting Neural Machine Translation—0
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey—0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts—0
Domain Adaptation for NMT via Filtered Iterative Back-Translation—0
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet—0
Domain Adaptation of Document-Level NMT in IWSLT19—0
Improving Neural Machine Translation with Pre-trained Representation—0
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