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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 51–60 of 1773 papers

TitleStatusHype
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
Document-Level Neural Machine Translation with Hierarchical Attention NetworksCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksCode1
Evaluating Multiway Multilingual NMT in the Turkic LanguagesCode1
FFR v1.1: Fon-French Neural Machine TranslationCode1
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative FlowCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
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