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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 1741–1750 of 1773 papers

TitleStatusHype
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine TranslationCode0
Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in IndonesiaCode0
Stronger Baselines for Trustable Results in Neural Machine TranslationCode0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translationCode0
The Unreasonable Volatility of Neural Machine Translation ModelsCode0
Restoring the Sister: Reconstructing a Lexicon from Sister Languages using Neural Machine TranslationCode0
Rethinking Targeted Adversarial Attacks For Neural Machine TranslationCode0
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