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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 321–330 of 1773 papers

TitleStatusHype
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Coverage Embedding Models for Neural Machine Translation—0
Crafting Adversarial Examples for Neural Machine Translation—0
Context-Adaptive Document-Level Neural Machine Translation—0
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation—0
Content Word Aware Neural Machine Translation—0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation—0
Context-Aware Smoothing for Neural Machine Translation—0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT—0
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