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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 631–640 of 1773 papers

TitleStatusHype
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Hypothesis Distribution—0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Differences between SMT and NMT Output - a Translators' Point of View—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
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