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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 1031–1040 of 1773 papers

TitleStatusHype
Explicit Reordering for Neural Machine Translation—0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation—0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
Meta-Learning for Few-Shot NMT Adaptation—0
Understanding Learning Dynamics for Neural Machine Translation—0
Finding the Optimal Vocabulary Size for Neural Machine TranslationCode0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
DeepSumm -- Deep Code Summaries using Neural Transformer Architecture—0
Low Resource Neural Machine Translation: A Benchmark for Five African LanguagesCode1
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