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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 121–130 of 1773 papers

TitleStatusHype
Prevent the Language Model from being Overconfident in Neural Machine TranslationCode1
Prompt-Driven Neural Machine TranslationCode1
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent VariablesCode1
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine TranslationCode1
Reward Optimization for Neural Machine Translation with Learned MetricsCode1
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio GenerationCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
Sequence-Level Knowledge DistillationCode1
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