@inproceedings{deleanu-etal-2025-professionally,
    title = "Do professionally adapted texts follow existing Easy-to-Understand ({E}2{U}) language guidelines? A quantitative analysis of two professionally adapted corpora",
    author = "Deleanu, Andreea  and
      Or{\u{a}}san, Constantin  and
      Qian, Shenbin  and
      Bezobrazova, Anastasiia  and
      Braun, Sabine",
    editor = "Ginel, Mar{\'i}a Isabel Rivas  and
      Cadwell, Patrick  and
      Canavese, Paolo  and
      Hansen-Schirra, Silvia  and
      Kappus, Martin  and
      Matamala, Anna  and
      Noonan, Will",
    booktitle = "Proceedings of the 1st Workshop on Artificial Intelligence and Easy and Plain Language in Institutional Contexts (AI {\&} EL/PL)",
    month = jun,
    year = "2025",
    address = "Geneva, Switzerland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/mtsummit-25-ingestion/2025.aielpl-1.8/",
    pages = "73--93",
    ISBN = "978-2-9701897-5-6",
    abstract = "Easy-to-Understand (E2U) language varieties have been recognized by the UN Convention on the Rights of Persons with Disabilities as a means to prevent communicative exclusion of those facing cognitive barriers and guarantee the fundamental right to Accessible Communication. However, guidance on what it is that makes language `easier to understand' is still fragmented and vague, leading practitioners to rely on their individual expertise. For this reason, this article presents a quantitative corpus analysis to further understand which features of E2U language can more effectively improve verbal comprehension according to professional practice. This is achieved by analysing two parallel corpora of standard and professionally adapted E2U articles to identify adaptation practices implemented according to, in spite of or in addition to official E2U guidelines (Deleanu et al., 2024). The results stemming from the corpus analysis, provide insight into the most effective adaptation strategies that can reduce complexity in verbal discourse. This article will present the methods and results of the corpus analysis."
}