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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 1176–1200 of 1773 papers

TitleStatusHype
Translating Web Search Queries into Natural Language Questions—0
Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks—0
Translation-Enhanced Multilingual Text-to-Image Generation—0
Translationese as a Language in "Multilingual" NMT—0
Translationese as a Language in ``Multilingual'' NMT—0
Translation Memory Guided Neural Machine Translation—0
Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation—0
Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages—0
Translation vs Post-editing of NMT Output: Insights from the English-Greek language pair—0
TransSlowDown: Efficiency Attacks on Neural Machine Translation Systems—0
Triangular Architecture for Rare Language Translation—0
Turning NMT Research into Commercial Products—0
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation—0
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
UdS Submission for the WMT 19 Automatic Post-Editing Task—0
UFAL Submissions to the IWSLT 2016 MT Track—0
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing—0
Uncertainty-Aware Curriculum Learning for Neural Machine Translation—0
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation—0
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective—0
Understanding and Analyzing Model Robustness and Knowledge-Transfer in Multilingual Neural Machine Translation using TX-Ray—0
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder—0
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation—0
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation—0
Understanding Learning Dynamics for Neural Machine Translation—0
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