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    <titleInfo>
        <title>Legal-CGEL: Analyzing Legal Text in the CGELBank Framework</title>
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    <name type="personal">
        <namePart type="given">Brandon</namePart>
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    <name type="personal">
        <namePart type="given">Micaela</namePart>
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        <namePart type="given">Devika</namePart>
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    <name type="personal">
        <namePart type="given">Meru</namePart>
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    <name type="personal">
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            <title>Proceedings of the 23rd International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2025)</title>
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        <name type="personal">
            <namePart type="given">Sarah</namePart>
            <namePart type="family">Jablotschkin</namePart>
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        <name type="personal">
            <namePart type="given">Sandra</namePart>
            <namePart type="family">Kübler</namePart>
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    <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 &amp; 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.</abstract>
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%0 Conference Proceedings
%T Legal-CGEL: Analyzing Legal Text in the CGELBank Framework
%A Waldon, Brandon
%A Wells, Micaela
%A Tiwari, Devika
%A Gopalan, Meru
%A Schneider, Nathan
%Y Jablotschkin, Sarah
%Y Kübler, Sandra
%Y Zinsmeister, Heike
%S Proceedings of the 23rd International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2025)
%D 2025
%8 August
%I Association for Computational Linguistics
%C Ljubljana, Slovenia
%@ 979-8-89176-291-6
%F waldon-etal-2025-legal
%X 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.
%U https://aclanthology.org/2025.tlt-1.17/
%P 148-153

Markdown (Informal)

[Legal-CGEL: Analyzing Legal Text in the CGELBank Framework](https://aclanthology.org/2025.tlt-1.17/) (Waldon et al., TLT-SyntaxFest 2025)

• Legal-CGEL: Analyzing Legal Text in the CGELBank Framework (Waldon et al., TLT-SyntaxFest 2025)

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.