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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

Showing 1120 of 1773 papers

TitleStatusHype
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
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
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
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