@article{deworetzki-masciolini-2026-syntactic,
    title = "Syntactic Sugar for Syntactic Queries: Sequential Representations for Dependency Queries",
    author = "Deworetzki, Niklas  and
      Masciolini, Arianna",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    journal = "International Conference on Language Resources and Evaluation",
    volume = "main",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.914/",
    pages = "11669--11678",
    abstract = "Syntactic query languages such as Grew and dep{\_}search allow looking for grammatical patterns in linguistically annotated corpora. However, these languages are often unsupported by large-scale corpus management tools, where queries are of an essentially sequential nature. In this paper, we present CQP/Tree, a tool to convert syntactic queries into CQL, the Corpus Query Language used in Corpus Workbench, SketchEngine, Korp and several other such systems. In this framework, syntactic queries act as {\_}syntactic sugar{\_}: they allow expressing complex CQL queries in a more readable and concise fashion, thus bridging the gap between expressive linguistic search and large-scale corpora. CQP/Tree is available as a web and command-line tool, as well as an open source Python library."
}