Automatic Identification of Legal Terms in Czech Law Texts

PALA, Karel, Pavel RYCHLÝ and Pavel ŠMERK. Automatic Identification of Legal Terms in Czech Law Texts. In Semantic Processing of Legal Texts. Berlin: Springer, 2010, p. 83-94. ISBN 978-3-642-12836-3. Available from: https://dx.doi.org/10.1007/978-3-642-12837-0_5.

Basic information

• Original name: Automatic Identification of Legal Terms in Czech Law Texts
• Name in Czech: Automatická identifikace právních termínů v českých právních textech
• Authors: PALA, Karel (203 Czech Republic, guarantor, belonging to the institution), Pavel RYCHLÝ (203 Czech Republic, belonging to the institution) and Pavel ŠMERK (203 Czech Republic, belonging to the institution).
• Edition: Berlin, Semantic Processing of Legal Texts, p. 83-94, 12 pp. 2010.
• Publisher: Springer

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 60200 6.2 Languages and Literature
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• Impact factor: Impact factor: 0.402 in 2005
• RIV identification code: RIV/00216224:14330/10:00065871
• Organization unit: Faculty of Informatics
• ISBN: 978-3-642-12836-3
• ISSN: 0302-9743
• Doi: http://dx.doi.org/10.1007/978-3-642-12837-0_5
• Keywords in English: terminology extraction; natural language processing; legal language
• Tags: International impact, Reviewed

Abstract

Law texts including constitution, acts, public notices and court judgements form a huge database of texts. As many texts from small domains, the used sublanguage is partially restricted and also different from general language (Czech). As a starting collection of data, the legal database Lexis containing approx. 50,000 Czech law documents has been chosen. Our attention is concentrated mostly on noun groups, which are the main candidates for law terms. We were able to recognize 3992 such different noun groups in the selected text samples. The paper also presents results of the morphological analysis, lemmatization, tagging, disambiguation, and the basic syntactic analysis of Czech law texts as these tasks are crucial for any further sophisticated natural language processing. The verbs in legal texts have been explored preliminarily as well. In this respect, we are trying to explore how the linguistic analysis can help in identification of the semantic nature of law terms.

Links

• GA407/07/0679, research and development project: Name: Právní e-slovník - PES

Investor: Czech Science Foundation, Legal e-dictionary - PES

• LC536, research and development project: Name: Centrum komputační lingvistiky

Investor: Ministry of Education, Youth and Sports of the CR, Centrum komputační lingvistiky