Robust Data Augmentation for Neural Machine Translation through EVALNET

Since building Neural Machine Translation (NMT) systems requires a large parallel corpus, various data augmentation techniques have been adopted, especially for low-resource languages. In order to achieve the best performance through data augmentation, the NMT systems should be able to evaluate the...

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Bibliographic Details
Main Authors: Yo-Han Park, Yong-Seok Choi, Seung Yun, Sang-Hun Kim, Kong-Joo Lee
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/1/123