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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 41–50 of 1773 papers

TitleStatusHype
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
Adaptive Nearest Neighbor Machine TranslationCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
Continuous Language Generative FlowCode1
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