On the Semantic Difference of Judicial and Standard Language
Abstract
Legal language is considered to be a key obstacle to the comprehensibility of court decisions for laypeople. While differences between written 'standard' and legal language have already been analysed with regard to syntactic peculiarities, there is still a lack of findings on the influence of divergent word meanings on comprehensibility. We present the course and the preliminary results of a study elaborating such ambiguities on the basis of over half a million German court decisions. As these differences are highly language-dependent, our study consequentially relates (only) to German.
References
[1]
Fatemeh Torabi Asr, Robert Zinkov, and Michael Jones. 2018. Querying word embeddings for similarity and relatedness. In NAACL-HLT. 675--684.
[2]
Gemma Boleda. 2020. Distributional Semantics and Linguistic Theory. Annu. Rev. Linguist. 6 (2020), 213--234.
[3]
U. Quasthoff D. Goldhahn, T. Eckart. 2012. Building Large Monolingual Dictionaries at the Leipzig Corpora Collection: From 100 to 200 Languages. In LREC. 759--765.
[4]
Yoav Goldberg and Omer Levy. 2014. word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method. arXiv:1402.3722 (2014).
[5]
Hanjo Hamann. 2021. Der blinde Fleck der deutschen Rechtswissenschaft. JuristenZeitung 76 (2021), 656--665.
[6]
Sandra Hansen, Ralph Dirksen, Martin Küchler, Kerstin Kunz, and Stella Neumann. 2006. Comprehensible legal texts - utopia or a question of wording? On processing rephrased German court decisions. Hermes - Journal of Language and Communication Studies 36 (2006), 15--40.
[7]
Yoon Kim, Yi-I Chiu, Kentaro Hanaki, Darshan Hegde, and Slav Petrov. 2014. Temporal Analysis of Language through Neural Language Models. In Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science. 61--65.
[8]
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc'Aurelio Ranzato. 2017. Unsupervised Machine Translation Using Monolingual Corpora Only. arXiv preprint arXiv:1711.00043 (2017).
[9]
Edward Loper and Steven Bird. 2002. NLTK: The Natural Language Toolkit. CoRR cs.CL/0205028 (2002).
[10]
David Mellinkoff. 1963. The Language of the Law.
[11]
Patrick O'Connor and Andre Kleyner. 2012. Practical reliability engineering.
[12]
Sebastian Omlor. 2022. Legal Research in Germany between Print and Electronic Media: An Overview. https://www.nyulawglobal.org/globalex/Germany1.html
[13]
Lee Petherbridge and David L. Schwartz. 2015. An Empirical Assessment of the Supreme Court's Use of Legal Scholarship. Northwestern University Law Review 106 (2015), 995--1032.
[14]
Radim Rehurek and Petr Sojka. 2011. Gensim-python framework for vector space modelling. NLP Centre, Faculty of Informatics, Masaryk University, Brno, Czech Republic 3, 2 (2011).
[15]
Statistisches Bundesamt. 2019. Rechtspflege Zivilgericht. Fachserie 10, Reihe 2.1.
[16]
Don Tuggener. 2016. Incremental Coreference Resolution for German. Ph. D. Dissertation. University of Zurich, Faculty of Arts.
[17]
Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 9, 11 (2008).
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- On the Semantic Difference of Judicial and Standard Language
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Published In
June 2023
499 pages
ISBN:9798400701979
DOI:10.1145/3594536
- Conference Chair:
- Francisco Andrade,
- Program Chair:
- Matthias Grabmair
Copyright © 2023 Owner/Author.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.
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- IAAIL: Intl Asso for Artifical Intel & Law
In-Cooperation
- UMinho: University of Minho
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- AAAI: Am Assoc for Artifical Intelligence
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Association for Computing Machinery
New York, NY, United States
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Published: 07 September 2023
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ICAIL 2023
Sponsor:
- IAAIL
ICAIL 2023: Nineteenth International Conference on Artificial Intelligence and Law
June 19 - 23, 2023
Braga, Portugal
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Overall Acceptance Rate 69 of 169 submissions, 41%
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