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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 1171–1180 of 1773 papers

TitleStatusHype
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering—0
Translate-and-Revise: Boosting Large Language Models for Constrained Translation—0
Translating Phrases in Neural Machine Translation—0
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches—0
Translating Terminologies: A Comparative Examination of NMT and PBSMT Systems—0
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
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