@inproceedings{gupta-etal-2025-lexilogic,
    title = "{L}exi{L}ogic@{CALCS} 2025: Predicting Preferences in Generated Code-Switched Text",
    author = "Gupta, Pranav  and
      Bhattacharyya, Souvik  and
      M, Niranjan Kumar  and
      Roy, Billodal",
    editor = "Winata, Genta Indra  and
      Kar, Sudipta  and
      Zhukova, Marina  and
      Solorio, Thamar  and
      Ai, Xi  and
      Hamed, Injy  and
      Ihsani, Mahardika Krisna Krisna  and
      Wijaya, Derry Tanti  and
      Kuwanto, Garry",
    booktitle = "Proceedings of the 7th Workshop on Computational Approaches to Linguistic Code-Switching",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.calcs-1.6/",
    pages = "48--53",
    ISBN = "979-8-89176-053-0",
    abstract = "Code-switched generation is an emerging application in NLP systems, as code-switched text and speech are common and natural forms of conversation in multilingual communities worldwide. While monolingual generation has matured significantly with advances in large language models, code-switched generation still remains challenging, especially for languages and domains with less representation in pre-training datasets. In this paper, we describe our submission to the shared task of predicting human preferences for code-switched text in English-Malayalam, English-Tamil, and English-Hindi. We discuss our various approaches and report on the accuracy scores for each approach."
}