@inproceedings{hill-etal-2026-catalogues-data,
    title = "Catalogues as Data: Interpretable {NLP} Pipelines for {O}ttoman-{T}urkish Bibliographies",
    author = "Hill, Mark  and
      Bulus, Ayse  and
      Spence, Paul",
    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-1.12/",
    pages = "128--134",
    ISBN = "979-8-89176-373-9",
    abstract = {Bibliographies are both humanities infrastructure and historic record. To computationally analyse them, however, requires implementing complex digitisation and standardisation decisions. This paper turns to Seyfettin {\"O}zege{'}s Eski Harflerle Bas{\i}lm{\i}{\c{s}} T{\"u}rk{\c{c}}e Eserler Katalo{\u{g}}u as an example, a scanned set of volumes marked by complex page layouts, degraded typography, irregular entry structures, and historically contingent inconsistencies. With this we present a pipeline that constructs a structured, machine-readable, and analysable dataset out of the 27,000 entries with computer vision, OCR, large and visual language models, sequence-based validation, and custom review tools. This process captures 97.8{\%} of records, with remaining cases capable of being addressed by targeted review. This process demonstrates that combining LLMs with interpretable, review-centric pipelines, offers an appropriate approach for historically complex bibliographic sources.}
}