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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 776–800 of 1773 papers

TitleStatusHype
Punjabi to English Bidirectional NMT System—0
MUCS@Adap-MT 2020: Low Resource Domain Adaptation for Indic Machine Translation—0
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages—0
Neural Machine Translation Doesn’t Translate Gender Coreference Right Unless You Make ItCode0
Bridging Philippine Languages With Multilingual Neural Machine Translation—0
Zero-shot translation among Indian languages—0
Zero-Shot Neural Machine Translation: Russian-Hindi @LoResMT 2020—0
Investigating Low-resource Machine Translation for English-to-Tamil—0
Effective Use of Target-side Context for Neural Machine Translation—0
A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme InformationCode0
Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity—0
Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language BribriCode0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation—0
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation—0
Filtering Back-Translated Data in Unsupervised Neural Machine Translation—0
Meet Changes with Constancy: Learning Invariance in Multi-Source Translation—0
Multilingual Neural Machine Translation—0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction—0
Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation—0
English-to-Chinese Transliteration with Phonetic Auxiliary Task—0
SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks—0
Machine Translation of Novels in the Age of TransformerCode0
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation—0
Decoding and Diversity in Machine Translation—0
Master Thesis: Neural Sign Language Translation by Learning Tokenization—0
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