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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 981–990 of 1773 papers

TitleStatusHype
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space—0
Rethinking Translation Memory Augmented Neural Machine Translation—0
Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the "Wrong" Predictions—0
Revisiting Character-Based Neural Machine Translation with Capacity and Compression—0
Revisiting Low Resource Status of Indian Languages in Machine Translation—0
Revisiting Modularized Multilingual NMT to Meet Industrial Demands—0
Revisiting Neural Scaling Laws in Language and Vision—0
Revisiting Robust Neural Machine Translation: A Transformer Case Study—0
Revisiting Round-Trip Translation for Quality Estimation—0
Rewriter-Evaluator Framework for Neural Machine Translation—0
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