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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 1261–1270 of 1773 papers

TitleStatusHype
Multimodal Neural Machine Translation for English to Hindi—0
Multimodal Neural Machine Translation with Search Engine Based Image Retrieval—0
Multi-paraphrase Augmentation to Leverage Neural Caption Translation—0
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation—0
Multiple Segmentations of Thai Sentences for Neural Machine Translation—0
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT—0
Multi-Reward based Reinforcement Learning for Neural Machine Translation—0
MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality—0
Multi-Source Neural Machine Translation with Missing Data—0
Multi-Source Neural Machine Translation with Data Augmentation—0
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