@inproceedings{deworetzki-etal-2026-syntactic,
  title     = {Syntactic Sugar for Syntactic Queries: Sequential Representations for Dependency Queries},
  author    = {Deworetzki, Niklas and Masciolini, Arianna},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  month     = {May},
  year      = {2026},
  pages     = {11669--11678},
  address   = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  editor    = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
  doi       = {10.63317/2vfu2ssa33us},
  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.}
}