Legal-CGEL: Analyzing Legal Text in the CGELBank Framework

Brandon Waldon, Micaela Wells, Devika Tiwari, Meru Gopalan, Nathan Schneider


Abstract
We introduce Legal-CGEL, an ongoing treebanking project focused on syntactic analysis of legal English text in the CGELBank framework (Reynolds et al., 2022), with an initial focus on US statutory law. When it comes to treebanking for legal English, we argue that there are unique advantages to employing CGELBank, a formalism that extends a comprehensive—and authoritative—formal description of English syntax (the Cambridge Grammar of the English Language; Huddleston & Pullum, 2002). We discuss some analytical challenges that have arisen in extending CGELBank to the legal domain. We conclude with a summary of immediate and longer-term project goals.
Anthology ID:
2025.tlt-1.17
Volume:
Proceedings of the 23rd International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2025)
Month:
August
Year:
2025
Address:
Ljubljana, Slovenia
Editors:
Sarah Jablotschkin, Sandra Kübler, Heike Zinsmeister
Venues:
TLT | WS | SyntaxFest
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
148–153
Language:
URL:
https://preview.aclanthology.org/corrections-2025-08/2025.tlt-1.17/
DOI:
Bibkey:
Cite (ACL):
Brandon Waldon, Micaela Wells, Devika Tiwari, Meru Gopalan, and Nathan Schneider. 2025. Legal-CGEL: Analyzing Legal Text in the CGELBank Framework. In Proceedings of the 23rd International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2025), pages 148–153, Ljubljana, Slovenia. Association for Computational Linguistics.
Cite (Informal):
Legal-CGEL: Analyzing Legal Text in the CGELBank Framework (Waldon et al., TLT-SyntaxFest 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/corrections-2025-08/2025.tlt-1.17.pdf