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@inProceedings{deworetzki-masciolini-2026-syntactic-364221,
title = {Syntactic Sugar for Syntactic Queries: Sequential Representations for Dependency Queries},
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.},
booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
author = {Deworetzki, Niklas and Masciolini, Arianna},
year = {2026},
publisher = {European Language Resources Association (ELRA)},
address = {Palma, Mallorca, Spain},
pages = {11669----11678},
}