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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 21–30 of 1773 papers

TitleStatusHype
Improving Simultaneous Machine Translation with Monolingual DataCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
MarianCG: a code generation transformer model inspired by machine translationCode1
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain AdaptationCode1
Towards Robust k-Nearest-Neighbor Machine TranslationCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
Low-Resource Neural Machine Translation: A Case Study of CantoneseCode1
The first neural machine translation system for the Erzya languageCode1
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