Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus (2026.findings-acl)
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| Challenge: | Existing studies on code-mixing have not been able to model human interactions in context. |
| Approach: | They propose to use a general-purpose code-mixing corpus to model human interactions and relationships in context while maintaining ethical standards. |
| Outcome: | The proposed corpus includes over 355,641 messages spanning various code-mixing patterns, with a primary focus on English, Mandarin, and other languages. |
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Processing and Understanding Mixed Language Data (D19-2)
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| Challenge: | Multilingual communities exhibit code-mixing, mixing of two or more languages in a single conversation . social media and other informal interactive platforms are allowing code-switching in user-generated text . |
| Approach: | a tutorial aims to provide a foundation for researchers to study code-mixing in multilingual communities. |
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CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languages (2025.emnlp-main)
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| Challenge: | Existing benchmarks for large language models (LLMs) are limited by their narrow language pairs and tasks, failing to adequately assess their code-mixing abilities. |
| Approach: | They propose a benchmark to assess large language models' (LLMs) code-mixing abilities that covers eight tasks and 18 languages from seven language families. |
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A Fast, Compact, Accurate Model for Language Identification of Codemixed Text (D18-1)
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| Challenge: | a feed-forward network can label codemixed and monolingual text in 100 languages and 100 language pairs. |
| Approach: | They propose a feed-forward network that can provide a language code for every token in a sentence . they show that the model can label both codemixed and monolingual text in 100 languages . |
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CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations (2025.findings-acl)
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| Challenge: | Discourse parsing datasets based on conversations are restricted to a single domain . a lack of discourse structures in audio-based conversations is a challenge . |
| Approach: | They introduce CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse parsing in conversations. |
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Building and curating conversational corpora for diversity-aware language science and technology (2022.lrec-1)
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| Challenge: | Language resources that capture language use in its natural habitat of social interaction are rare despite the obvious merits of studying the very environment where we all learn and use it everyday. |
| Approach: | They propose to build an analysis pipeline and best practice guidelines for building and curating corpora of everyday conversation in diverse languages. |
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Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien (2022.findings-emnlp)
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| Challenge: | CM is a challenging task when mixed languages include dialects. |
| Approach: | They propose to construct a Hokkien-Mandarin CM dataset to overcome the limitation . they propose to use a linguistics-based toolkit to train the model for translation tasks . |
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From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology (2022.acl-long)
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| Challenge: | Informal social interaction is the primordial home of human language. |
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CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums (D19-1)
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| Challenge: | a dataset of written code-switched productions is curated from topical threads of multiple bilingual communities on the Reddit discussion platform. |
| Approach: | They analyze a dataset of written code-switched productions curated from multiple bilingual communities on the reddit discussion platform and examine whether findings are carried over to written codeswitching in discussion forums. |
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CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums (D19-55)
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| Challenge: | a dataset of written multilingual productions is released to explore the sociolinguistic underpinnings of written code-switching . |
| Approach: | They use a reddit discussion platform to collect written code-switched productions . they examine whether oral code-witching findings are carried over to written code . |
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GCM: A Toolkit for Generating Synthetic Code-mixed Text (2021.eacl-demos)
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| Challenge: | Code-mixing is a spoken language phenomenon and is difficult to train in multilingual communities. |
| Approach: | They propose a tool that can automatically generate code-mixed data given parallel data in two languages. |
| Outcome: | The proposed tool can generate code-mixed data in two languages using two linguistic theories. |