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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
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
Bicleaner AI: Bicleaner Goes NeuralCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
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