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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 101–110 of 1773 papers

TitleStatusHype
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
Nearest Neighbor Knowledge Distillation for Neural Machine TranslationCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Neural Machine Translation of Rare Words with Subword UnitsCode1
Neural Machine Translation System of Indic Languages -- An Attention based ApproachCode1
Neural Machine Translation with Joint RepresentationCode1
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language InferenceCode1
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