@inproceedings{kellert-tyagi-2025-languages,
    title = "Where and How Do Languages Mix? A Study of {S}panish-{G}uaran{\'i} Code-Switching in {P}araguay",
    author = "Kellert, Olga  and
      Tyagi, Nemika",
    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-1.4/",
    pages = "26--31",
    ISBN = "979-8-89176-053-0",
    abstract = "Code-switching, the alternating use of multiple languages within a single utterance, is a widespread linguistic phenomenon that poses unique challenges for both sociolinguistic analysis and Natural Language Processing (NLP). While prior research has explored code-switching from either a syntactic or geographic perspective, few studies have integrated both aspects, particularly for underexplored language pairs like Spanish-Guaran{\'i}. In this paper, we analyze Spanish-Guaran{\'i} code-switching using a dataset of geotagged tweets from Asunci{\'o}n, Paraguay, collected from 2017 to 2021. We employ a differential distribution method to map the geographic distribution of code-switching across urban zones and analyze its syntactic positioning within sentences. Our findings reveal distinct spatial patterns, with Guaran{\'i}-dominant tweets concentrated in the western and southwestern areas, while Spanish-only tweets are more prevalent in central and eastern regions. Syntactic analysis shows that code-switching occurs most frequently in the middle of sentences, often involving verbs, pronouns, and adjectives. These results provide new insights into the interaction between linguistic, social, and geographic factors in bilingual communication. Our study contributes to both sociolinguistic research and NLP applications, offering a framework for analyzing mixed-language data in digital communication."
}