@inproceedings{zagidov-brochhagen-2026-avarlab,
    title = "{A}var{L}ab: An Integrated Digital Ecosystem for {A}var, a Morphologically Rich Low-Resource Language",
    author = "Zagidov, Kebed  and
      Brochhagen, Thomas",
    editor = "Agyapong, Godfred  and
      Moeller, Sarah  and
      Arppe, Antti  and
      Marashian, Ali  and
      Rosenblum, Daisy",
    booktitle = "Proceedings of the Ninth Workshop on the Use of Computational Methods in the Study of Endangered Languages ({C}omput{EL}-9)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.computel-1.7/",
    pages = "62--71",
    ISBN = "979-8-89176-422-4",
    abstract = "This paper presents a digital ecosystem designed for Avar, a morphologically rich and vulnerable Northeast Caucasian language. Addressing the common bottleneck where lexical resources, corpora, and computational tools are developed in isolation or are entirely absent, we propose the ``generate-verify'' workflow. By developing a scalable, rule-based computational architecture, our system specifically targets the challenges of low-resource settings, overcoming data sparsity to generate over one million inflected forms from a static dictionary of 14,700 entries.Furthermore, by coupling morphological generation with corpus verification, we introduce a dynamic method to rapidly analyze and expand endangered language data. This approach transforms static linguistic documentation into active language reclamation tools, supporting dictionary lookup and the creation of silver-standard annotations for downstream NLP. The platform also serves as a unified model for the collection, management, and mobilization of fragmented language data, ensuring that the resulting resources are directly accessible and beneficial to the speaker community. Ultimately, AvarLab provides a practical, adaptable pathway for building sustainable digital infrastructure by fostering interaction among documentary linguists, computer scientists, and native speakers."
}