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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 191–200 of 1773 papers

TitleStatusHype
Findings of the Third Workshop on Neural Generation and Translation—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
A New Methodology to Maximize the Strength of SMT and NMT—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
A Character-Aware Encoder for Neural Machine Translation—0
A neural interlingua for multilingual machine translation—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil—0
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