This repository serves as a comprehensive, curated list of research papers, workshops, and resources focused on computational linguistic approaches to code-switching. It is an invaluable asset for researchers, students, and practitioners in natural language processing (NLP) and computational linguistics seeking to understand and advance the field of code-switching.

How It Works

The repository organizes a vast collection of academic literature, categorizing papers by sub-fields such as Large Language Models, Language Identification, Corpus Creation, Speech Recognition, and Machine Translation. It also highlights key workshops and provides links to relevant datasets and code repositories, facilitating deeper exploration and practical application of the research.

Quick Start & Requirements

This is a curated list, not a software package. No installation or execution is required. All resources are accessible via provided links.

Highlighted Details

• Extensive categorization of research papers covering diverse aspects of code-switching.
• Links to major workshops and tutorials on the topic, including upcoming events like NAACL 2025.
• Inclusion of datasets and code repositories for practical experimentation.
• Features a comprehensive survey paper on code-switching research trends and challenges.

Maintenance & Community

The list is actively maintained and updated, with an open invitation for pull requests to contribute new papers, theses, and books.

Licensing & Compatibility

This repository is a collection of links to external research papers and resources. The licensing and compatibility of individual linked resources vary and must be checked on their respective platforms.

Limitations & Caveats

As a curated list, the repository itself does not provide any software functionality. The depth and breadth of coverage for specific sub-topics may vary based on ongoing research and community contributions.