@inproceedings{schacht-delucchi-danhier-2025-explay,
    title = "{E}xp{L}ay: A new Corpus Resource for the Research on Expertise as an Influential Factor on Language Production",
    author = "Schacht, Carmen  and
      Delucchi Danhier, Renate",
    editor = "Peng, Siyao  and
      Rehbein, Ines",
    booktitle = "Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/display_plenaries/2025.law-1.17/",
    pages = "216--227",
    ISBN = "979-8-89176-262-6",
    abstract = "This paper introduces the ExpLay-Pipeline, a novel semi-automated processing tool designed for the analysis of language production data from experts in comparison to the language production of a control group of laypeople. The pipeline combines manual annotation and curation with state-of-the-art machine learning and rule-based methods, following a silver standard approach. It integrates various analysis modules specifically for the syntactic and lexical evaluation of parsed linguistic data. While implemented initially for the creation of the ExpLay-Corpus, it is designed for the processing of linguistic data in general. The paper details the design and implementation of this pipeline."
}