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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 941–950 of 1773 papers

TitleStatusHype
Generating Diverse Translation from Model Distribution with Dropout—0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation—0
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItCode0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
Self-Paced Learning for Neural Machine TranslationCode0
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation—0
On the Sub-Layer Functionalities of Transformer Decoder—0
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