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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
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
Syntax-aware Data Augmentation for Neural Machine Translation—0
Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword SystemsCode1
Revisiting Round-Trip Translation for Quality Estimation—0
Multiscale Collaborative Deep Models for Neural Machine TranslationCode0
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
Multiple Segmentations of Thai Sentences for Neural Machine Translation—0
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