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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 881–890 of 1773 papers

TitleStatusHype
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation—0
Self-Paced Learning for Neural Machine TranslationCode0
Token-level Adaptive Training for Neural Machine TranslationCode1
Shallow-to-Deep Training for Neural Machine TranslationCode1
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications—0
Multi-task Learning for Multilingual Neural Machine Translation—0
On the Sub-Layer Functionalities of Transformer Decoder—0
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate LayersCode0
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