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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 1101–1110 of 1773 papers

TitleStatusHype
The HW-TSC Video Speech Translation System at IWSLT 2020—0
The IIT Bombay English-Hindi Parallel Corpus—0
The impact of translation competence on error recognition of neural MT—0
The Implicit Length Bias of Label Smoothing on Beam Search Decoding—0
The LAIX Systems in the BEA-2019 GEC Shared Task—0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation—0
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT—0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task—0
The MeMAD Submission to the WMT18 Multimodal Translation Task—0
The Missing Ingredient in Zero-Shot Neural Machine Translation—0
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