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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 726–750 of 1773 papers

TitleStatusHype
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional TaggingCode0
Meta Back-translation—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Towards Personalised and Document-level Machine Translation of Dialogue—0
Understanding Pre-Editing for Black-Box Neural Machine Translation—0
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation—0
Synthesizing Monolingual Data for Neural Machine Translation—0
Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data AugmentationCode1
Translation Memory Guided Neural Machine Translation—0
Switching-Aligned-Words Data Augmentation for Neural Machine Translation—0
Efficient Neural Machine Translation with Prior Word Alignment—0
Crowd-sourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The case of Fon Language—0
Learning to Use Future Information in Simultaneous TranslationCode0
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
A Simple and General Strategy for Referential Problem in Low-Resource Neural Machine Translation—0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Neural Machine Translation: A Review of Methods, Resources, and Tools—0
Revisiting Robust Neural Machine Translation: A Transformer Case Study—0
Synthetic Source Language Augmentation for Colloquial Neural Machine Translation—0
Learning Light-Weight Translation Models from Deep TransformerCode1
Why Neural Machine Translation Prefers Empty Outputs—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020—0
Modeling Homophone Noise for Robust Neural Machine Translation—0
Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)—0
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