Code Switching

Code-switching, the alternation of languages within a single utterance, is a linguistic phenomenon increasingly studied using computational methods to understand its complexities and improve multilingual natural language processing. Current research focuses on developing robust models, often leveraging contrastive learning and mixture-of-experts architectures, to handle code-switched text and speech in various tasks like machine translation, speech recognition, and language identification. These advancements are crucial for creating more inclusive and effective technologies that cater to the diverse linguistic practices of multilingual communities, particularly in low-resource language settings.