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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 1421–1430 of 1773 papers

TitleStatusHype
Neural Speech Synthesis with Transformer NetworkCode2
NICT's Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task—0
NICT's Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task—0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation—0
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
Towards one-shot learning for rare-word translation with external experts—0
Multilingual Extractive Reading Comprehension by Runtime Machine TranslationCode0
Neural Machine Translation of Logographic Languages Using Sub-character Level Information—0
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing—0
Character-Aware Decoder for Translation into Morphologically Rich Languages—0
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