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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
Controlling Utterance Length in NMT-based Word Segmentation with Attention—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
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
Idiap NMT System for WAT 2019 Multimodal Translation Task—0
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