Data Augmentation for Supervised Code Translation Learning
Published in Leibniz Universität Hannover • Jan 1, 2024
NobleIDNI0P31W05R18S39
Authors:,,
Binger Chen
Jacek Golebiowski
Ziawasch Abedjan
Abstract
Data-driven program translation has been recently the focus of several lines of research. A common and robust strategy is supervised learning. However, there is typically a lack of parallel training data, i.e., pairs of code snippets in the source and target language. While many data augmentation te...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!