Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus

Code-mixing involves the seamless integration of linguistic elements from multiple languages within a single discourse, reflecting natural multilingual communication patterns.Despite its prominence in informal interactions such as social media, chat messages and instantmessaging exchanges, there has been a lack of publicly available corpora that are authorlabeled and suitable for modeling human conversations and relationships.This study introduces the first labeled and general-purpose corpus for understanding code-mixing in context while maintaining rigorous privacy and ethical standards.It includes over 355,641 messages spanning various code-mixing patterns, with a primary focus on English, Mandarin, and other languages.We expect the Codemix Corpus to serve as a foundational dataset for research in computational linguistics, sociolinguistics, and NLP applications.Code and dataset sample can be found here.