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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 1061–1070 of 1773 papers

TitleStatusHype
When and Why is Unsupervised Neural Machine Translation Useless?—0
Contextual Neural Machine Translation Improves Translation of Cataphoric PronounsCode0
Neural Machine Translation for Low-Resourced Indian LanguagesCode0
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
On Optimal Transformer Depth for Low-Resource Language TranslationCode0
Explicit Reordering for Neural Machine Translation—0
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation—0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
Meta-Learning for Few-Shot NMT Adaptation—0
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