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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 821–830 of 1773 papers

TitleStatusHype
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020—0
Modeling Homophone Noise for Robust Neural Machine Translation—0
Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)—0
Exploring Pair-Wise NMT for Indian Languages—0
Rewriter-Evaluator Architecture for Neural Machine Translation—0
Document Graph for Neural Machine Translation—0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
Meet Changes with Constancy: Learning Invariance in Multi-Source Translation—0
Efforts Towards Developing a Tamang Nepali Machine Translation System—0
Effective Use of Target-side Context for Neural Machine Translation—0
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