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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 411–420 of 1773 papers

TitleStatusHype
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
On the Copying Behaviors of Pre-Training for Neural Machine TranslationCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial AttacksCode0
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine TranslationCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
OpenNMT: Open-Source Toolkit for Neural Machine TranslationCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
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