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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 831–840 of 1773 papers

TitleStatusHype
Joint Training for Neural Machine Translation Models with Monolingual Data—0
Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models—0
JU-Saarland Submission to the WMT2019 English--Gujarati Translation Shared Task—0
Key-value Attention Mechanism for Neural Machine Translation—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
KIT’s Multilingual Neural Machine Translation systems for IWSLT 2017—0
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 2021—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
C-NMT: A Collaborative Inference Framework for Neural Machine Translation—0
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