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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 581–590 of 1773 papers

TitleStatusHype
Investigating Softmax Tempering for Training Neural Machine Translation Models—0
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation—0
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 2021—0
Sentiment-based Candidate Selection for NMTCode0
基于层间知识蒸馏的神经机器翻译(Inter-layer Knowledge Distillation for Neural Machine Translation)—0
Incorporating translation quality estimation into Chinese-Korean neural machine translation—0
Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method—0
Improved English to Hindi Multimodal Neural Machine Translation—0
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021—0
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task—0
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