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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 681–690 of 1773 papers

TitleStatusHype
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair—0
A Comparison of Sentence-Weighting Techniques for NMT—0
HI-CMLM: Improve CMLM with Hybrid Decoder Input—0
Sentiment-based Candidate Selection for NMTCode0
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021—0
NECTEC’s Participation in WAT-2021—0
基于层间知识蒸馏的神经机器翻译(Inter-layer Knowledge Distillation for Neural Machine Translation)—0
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT—0
Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method—0
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation—0
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