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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 1011–1020 of 1773 papers

TitleStatusHype
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation—0
Self-Supervised Curriculum Learning for Spelling Error Correction—0
Semantic Diversity by Phonetics for Accurate and Robust Machine Translation—0
SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation—0
Semi-Supervised Learning for Neural Machine Translation—0
Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages—0
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
Sentence Boundary Augmentation For Neural Machine Translation Robustness—0
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation—0
Sentence Embedding for Neural Machine Translation Domain Adaptation—0
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