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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 721–730 of 1773 papers

TitleStatusHype
Generating Gender Augmented Data for NLP—0
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoningCode0
A Survey on Low-Resource Neural Machine Translation—0
Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking—0
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task—0
NoDeeLe: A Novel Deep Learning Schema for Evaluating Neural Machine Translation Systems—0
Audiovisual Translation through NMT and Subtitling in the Netflix Series ‘Cable Girls’—0
MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch—0
Neural Machine Translation for Low-Resource Languages: A Survey—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space—0
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