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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 1611–1620 of 1773 papers

TitleStatusHype
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPUCode0
The Ecological Footprint of Neural Machine Translation SystemsCode0
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial AttacksCode0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
Neural Machine Translation: A Review and SurveyCode0
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine TranslationCode0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
Integrating Multi-scale Contextualized Information for Byte-based Neural Machine TranslationCode0
Sicilian Translator: A Recipe for Low-Resource NMTCode0
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