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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 711–720 of 1773 papers

TitleStatusHype
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair—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
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 2021—0
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task—0
Revisiting Negation in Neural Machine TranslationCode0
The USYD-JD Speech Translation System for IWSLT 2021—0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
On the Copying Behaviors of Pre-Training for Neural Machine TranslationCode0
On the Difficulty of Translating Free-Order Case-Marking LanguagesCode0
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