OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification
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Abstract (arXiv)
Code-mixing is a well-studied linguistic phenomenon when two or more languages are mixed in text or speech. Several works have been conducted on building datasets and performing downstream NLP tasks on code-mixed data. Although it is not uncommon to observe code-mixing of three or more languages, most available datasets in this domain contain code-mixed data from only two languages. In this paper, we introduce OffMix-3L, a novel offensive language identification dataset containing code-mixed data from three different languages. We experiment with several models on this dataset and observe that BanglishBERT outperforms other transformer-based models and GPT-3.5.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 14 of its 47 references that are in the map. First posted on arXiv 27 Oct 2023.
Builds on
14 of 47 references.
References · 14
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,243
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2016FastText.zip: Compressing text classification modelscited by 331
- 2020HateBERT: Retraining BERT for Abusive Language Detection in Englishcited by 206
- 2021MuRIL: Multilingual Representations for Indian Languagescited by 177
- 2021BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Banglacited by 123
- 2020SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identificationcited by 53
- 2018Aggression-annotated Corpus of Hindi-English Code-mixed Datacited by 40
- 2022L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Modelscited by 33
- 2021FBERT: A Neural Transformer for Identifying Offensive Contentcited by 30
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Citing papers per year: 2024: 2; 2025: 1; 2026: 2.
5 papers.
- 2025Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalitiescited by 4
- 2024EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detectioncited by 2
- 2024MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Promptingcited by 0
- 2026NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Surveycited by 0
- 2026IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixingcited by 0
- 2026IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing10 Sep 2026
- 2026NLP Privacy Risk Identification in Social Media (NLP-PRISM): A Survey26 Jan 2026
- 2025Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalities8 Oct 2025
- 2024MasonTigers at SemEval-2024 Task 10: Emotion Discovery and Flip Reasoning in Conversation with Ensemble of Transformers and Prompting30 Jun 2024
- 2024EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detection11 May 2024