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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 21–30 of 1773 papers

TitleStatusHype
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Bicleaner AI: Bicleaner Goes NeuralCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
Can Automatic Post-Editing Improve NMT?Code1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationCode1
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