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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 1021–1030 of 1773 papers

TitleStatusHype
When and Why is Unsupervised Neural Machine Translation Useless?—0
A Study of Non-autoregressive Model for Sequence Generation—0
Contextual Neural Machine Translation Improves Translation of Cataphoric PronounsCode0
Neural Machine Translation for Low-Resourced Indian LanguagesCode0
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models—0
Neural Machine Translation: Challenges, Progress and FutureCode1
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
On Optimal Transformer Depth for Low-Resource Language TranslationCode0
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
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