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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 1351–1375 of 1773 papers

TitleStatusHype
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
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation—0
Learning to Refine Source Representations for Neural Machine Translation—0
How Much Does Tokenization Affect Neural Machine Translation?—0
DTMT: A Novel Deep Transition Architecture for Neural Machine TranslationCode0
SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences—0
Conditional Variational Autoencoder for Neural Machine Translation—0
TMU Japanese-Chinese Unsupervised NMT System for WAT 2018 Translation Task—0
Improved Neural Machine Translation using Side Information—0
CUNI NMT System for WAT 2018 Translation Tasks—0
SMT reranked NMT (2)—0
English-Myanmar NMT and SMT with Pre-ordering: NICT’s Machine Translation Systems at WAT-2018—0
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation—0
A Hierarchical Neural Network for Sequence-to-Sequences Learning—0
Neural Machine Translation with Adequacy-Oriented Learning—0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
Towards Neural Machine Translation for African LanguagesCode0
Data Selection with Feature Decay Algorithms Using an Approximated Target Side—0
Off-the-Shelf Unsupervised NMT—0
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