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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 761–770 of 1773 papers

TitleStatusHype
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems—0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016—0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
Integrating Pre-trained Language Model into Neural Machine Translation—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Incorporating Source-Side Phrase Structures into Neural Machine Translation—0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
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