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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 3140 of 1773 papers

TitleStatusHype
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
Can Automatic Post-Editing Improve NMT?Code1
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