Marathi-English Code-mixed Text Generation
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Abstract (arXiv)
Code-mixing, the blending of linguistic elements from distinct languages to form meaningful sentences, is common in multilingual settings, yielding hybrid languages like Hinglish and Minglish. Marathi, India's third most spoken language, often integrates English for precision and formality. Developing code-mixed language systems, like Marathi-English (Minglish), faces resource constraints. This research introduces a Marathi-English code-mixed text generation algorithm, assessed with Code Mixing Index (CMI) and Degree of Code Mixing (DCM) metrics. Across 2987 code-mixed questions, it achieved an average CMI of 0.2 and an average DCM of 7.4, indicating effective and comprehensible code-mixed sentences. These results offer potential for enhanced NLP tools, bridging linguistic gaps in multilingual societies.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 8 of its 19 references that are in the map. First posted on arXiv 28 Sep 2023.
Builds on
8 of 19 references.
References · 8
- 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
- 2021Word Alignment by Fine-tuning Embeddings on Parallel Corporacited by 186
- 2023Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languagescited by 50
- 2022L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Modelscited by 33
- 2020A New Dataset for Natural Language Inference from Code-mixed Conversationscited by 29
- 2021HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Textcited by 28
- 2021Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixingcited by 16
- 2021Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillationcited by 13
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Citing papers per year: 2024: 1; 2025: 0; 2026: 1.
2 papers.