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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 661–670 of 1773 papers

TitleStatusHype
Decoding with Value Networks for Neural Machine Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Addressing Troublesome Words in Neural Machine Translation—0
A Comprehensive Survey of Multilingual Neural Machine Translation—0
Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation—0
Decoding and Diversity in Machine Translation—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
An Empirical Investigation of Multi-bridge Multilingual NMT models—0
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
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