Towards Data Augmentation for Supervised Code Translation Article Swipe

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Binger Chen , Jacek Gołębiowski , Ziawasch Abedjan ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1145/3639478.3643115 · OA: W4398239254

Supervised learning is a robust strategy for data-driven program translation. This work addresses the challenge of insufficient parallel training data in code translation by exploring two innovative data augmentation methods: a rule-based approach specifically designed for code translation datasets and a retrieval-based method leveraging unorganized code repositories.