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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 91–100 of 1773 papers

TitleStatusHype
Human-Paraphrased References Improve Neural Machine TranslationCode1
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span PredictionCode1
Improving Multilingual Translation by Representation and Gradient RegularizationCode1
Improving Neural Machine Translation Models with Monolingual DataCode1
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual InformationCode1
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
knn-seq: Efficient, Extensible kNN-MT FrameworkCode1
Learning Confidence for Transformer-based Neural Machine TranslationCode1
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
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