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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 1281–1290 of 1773 papers

TitleStatusHype
Named Entity-Factored Transformer for Proper Noun Translation—0
Named-Entity Tagging and Domain adaptation for Better Customized Translation—0
Natural Language Response Generation from SQL with Generalization and Back-translation—0
Nearest Neighbor Knowledge Distillation for Neural Machine Translation—0
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation—0
NECTEC’s Participation in WAT-2021—0
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints—0
Neural Automatic Post-Editing Using Prior Alignment and Reranking—0
Neural Clinical Paraphrase Generation with Attention—0
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation—0
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