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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 1151–1160 of 1773 papers

TitleStatusHype
Towards Neural Machine Translation with Partially Aligned Corpora—0
Towards one-shot learning for rare-word translation with external experts—0
Towards Personalised and Document-level Machine Translation of Dialogue—0
Towards Personalised and Document-level Machine Translation of Dialogue—0
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer—0
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning—0
Towards Robust Neural Machine Translation—0
Towards String-to-Tree Neural Machine Translation—0
Towards Understanding Neural Machine Translation with Word Importance—0
Training, feedback and productivity measurement with NMT and Adaptive MT—0
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