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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 1331–1340 of 1773 papers

TitleStatusHype
Semantic Neural Machine Translation using AMRCode0
Multilingual Neural Machine Translation With Soft Decoupled EncodingCode0
An Effective Approach to Unsupervised Machine TranslationCode0
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain—0
Finding Sami Cognates with a Character-Based NMT Approach—0
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory—0
On Learning Meaningful Code Changes via Neural Machine Translation—0
Context in Neural Machine Translation: A Review of Models and Evaluations—0
Modeling Latent Sentence Structure in Neural Machine Translation—0
Unsupervised Neural Machine Translation with SMT as Posterior RegularizationCode0
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