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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 1071–1080 of 1773 papers

TitleStatusHype
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
Finding the Optimal Vocabulary Size for Neural Machine TranslationCode0
Understanding Learning Dynamics for Neural Machine Translation—0
DeepSumm -- Deep Code Summaries using Neural Transformer Architecture—0
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation—0
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian PidginCode0
Towards Neural Machine Translation for Edoid Languages—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation—0
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