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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 1271–1280 of 1773 papers

TitleStatusHype
Improving Zero-shot Translation with Language-Independent Constraints—0
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair—0
Conflict as an Inverse of Attention in Sequence Relationship—0
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation—0
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Generalizing Back-Translation in Neural Machine Translation—0
Tagged Back-Translation—0
Unsupervised Question Answering by Cloze TranslationCode0
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation—0
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