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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 351–375 of 1773 papers

TitleStatusHype
Using Semantic Role Labeling to Improve Neural Machine Translation—0
Challenges of Neural Machine Translation for Short Texts—0
InDeep × NMT: Empowering Human Translators via Interpretable Neural Machine Translation—0
Latest Development in the FoTran Project – Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components—0
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
CREAMT: Creativity and narrative engagement of literary texts translated by translators and NMT—0
Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation—0
MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)—0
Passing Parser Uncertainty to the Transformer. Labeled Dependency Distributions for Neural Machine Translation.—0
Comparing Multilingual NMT Models and Pivoting—0
Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario—0
Multilingual Neural Machine Translation With the Right Amount of Sharing—0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars—0
Fast-Paced Improvements to Named Entity Handling for Neural Machine Translation—0
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine TranslationCode0
Patching Leaks in the Charformer for Efficient Character-Level GenerationCode0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse LanguagesCode0
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the TransformerCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
SALTED: A Framework for SAlient Long-Tail Translation Error Detection—0
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation—0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
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