@inproceedings{milicka-machalek-2026-ai-corpus,
    title = "{AI} Corpus Linguist: More than a Year of Experience",
    author = "Mili{\v{c}}ka, Ji{\v{r}}{\'i}  and
      Mach{\'a}lek, Tom{\'a}{\v{s}}",
    editor = "Alves, Diego  and
      Bizzoni, Yuri  and
      Degaetano-Ortlieb, Stefania  and
      Kazantseva, Anna  and
      Pagel, Janis  and
      Szpakowicz, Stan",
    booktitle = "Proceedings of the 10th Joint {SIGHUM} Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 2026",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-eacl/2026.latechclfl-1.29/",
    pages = "305--310",
    ISBN = "979-8-89176-373-9",
    abstract = "We present an AI assistant designed to help researchers interact with language corpora using natural language instead of formal query languages. Built as a custom GPT with access to multilingual corpora via Czech National Corpus platform API, the system translates research questions into CQL queries, retrieves corpus data, and guides users through linguistic analysis. After more than a year of deployment, the system has processed over 1000 interactions with human users. We discuss the hybrid approach combining rule-based translation with LLM intelligence, challenges of building on a constantly evolving platform, and lessons learned from production usage. Notably, this system represents the first voice-enabled corpus interface in history, significantly lowering barriers to corpus-based research for non-technical users and users outside linguistic fields."
}