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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 1381–1390 of 1773 papers

TitleStatusHype
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding—0
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine TranslationCode0
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine TranslationCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Learning to Segment Inputs for NMT Favors Character-Level Processing—0
Using Spoken Word Posterior Features in Neural Machine Translation—0
Neural Speech Translation at AppTek—0
Adapting Multilingual NMT to Extremely Low Resource Languages FBK’s Participation in the Basque-English Low-Resource MT Task, IWSLT 2018—0
Word Rewarding for Adequate Neural Machine Translation—0
The Sogou-TIIC Speech Translation System for IWSLT 2018—0
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