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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 11–20 of 1773 papers

TitleStatusHype
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio GenerationCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
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