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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 51–60 of 1773 papers

TitleStatusHype
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Effective Adversarial Regularization for Neural Machine TranslationCode1
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
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