@inproceedings{farsi-etal-2025-pahgen,
    title = "{P}ah{G}en: Generating {A}ncient {P}ahlavi Text via Grammar-guided Zero-shot Translation",
    author = "Farsi, Farhan  and
      Fazel, Parnian  and
      Goshtasb, Farzaneh  and
      Hajipour, Nadia  and
      Sabouri, Sadra  and
      Asgari, Ehsaneddin  and
      Sameti, Hossein",
    editor = "Ojha, Atul Kr.  and
      Liu, Chao-hong  and
      Vylomova, Ekaterina  and
      Pirinen, Flammie  and
      Washington, Jonathan  and
      Oco, Nathaniel  and
      Zhao, Xiaobing",
    booktitle = "Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico, U.S.A.",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.loresmt-1.16/",
    pages = "171--182",
    ISBN = "979-8-89176-230-5",
    abstract = "The Pahlavi language, aka Middle Persian, is a critical part of Persian cultural and historical heritage which bridges the Old Persian and Modern Persian (Farsi). However, due to its limited digital presence and the scarcity of comprehensive linguistic resources, Pahlavi is at risk of extinction. As an early attempt to preserve this language, this study introduces a framework to translate English text into Pahlavi. Our approach combines grammar-guided term extraction with zero-shot translation, leveraging large language models (LLMs) to generate syntactically and semantically accurate Pahlavi sentences.This framework aims to preserve the Pahlavi language and serves as a model for reviving other endangered languages with similar characteristics. Finally using our framework, we generate a novel dataset of 360 expert-validated parallel English-Pahlavi texts."
}