The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
Year: 2025

Code-switching, the act of alternating between languages, emerged as a prevalent global phenomenon that needs to be addressed for building user-friendly language technologies.A main bottleneck in this pursuit is data scarcity, motivating research in the direction of codeswitched data augmentation.However, current literature lacks comprehensive studies that enable us to understand the relation between the quality of synthetic data and improvements on NLP tasks.We extend previous research conducte