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 instant - messaging exchanges, there has been a lack of publicly available corpora that are author - labeled and suitable for modeling human conversations and relationships. This study intro - duces the first labeled and general-purpose corpus for understanding code - mixing in context while maintaining rigorous privacy and ethi - cal standards. Our live project will continu - ously gather, verify, and integrate code - mixed messages into a structured dataset released in JSON format, accompanied by detailed metadata and linguistic statistics. To date, 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 foun - dational dataset for research in computational linguistics, sociolinguistics, and NLP applica - tions. Code and dataset sample can be found here.