Rules-based system for Czech legal text readability

Kateřina Motalík Hodková, Ivan Kraus, Barbora Hladká


Abstract
In this paper, we present a set of linguistic rules, employed to enhance the readability of legal texts. The rules were compiled and implemented as a rule-based module of PONK, an advisory tool that contributes to simplification and higher clarity of Czech legal texts, especially those intended for non-expert audience. Based on recurring phenomena in authentic texts and relevant scientific sources, the rules cover mainly the domains of syntax and lexicon. In addition, we present the results of application of the rules to a corpus of authentic legal texts, evaluated by a human annotator, and examine their impact.
Anthology ID:
2026.law-main.3
Volume:
Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)
Month:
July
Year:
2026
Address:
San Diego, California, USA
Editors:
Yang Janet Liu, Luke Gessler
Venues:
LAW | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
22–32
Language:
URL:
https://preview.aclanthology.org/ingest-acl-workshops/2026.law-main.3/
DOI:
Bibkey:
Cite (ACL):
Kateřina Motalík Hodková, Ivan Kraus, and Barbora Hladká. 2026. Rules-based system for Czech legal text readability. In Proceedings of the 20th Linguistic Annotation Workshop (LAW XX), pages 22–32, San Diego, California, USA. Association for Computational Linguistics.
Cite (Informal):
Rules-based system for Czech legal text readability (Hodková et al., LAW 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.law-main.3.pdf