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, 12 pp. ISBN 978-3-642-12836-3. doi:10.1007/978-3-642-12837-0_5.
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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 Czechia, guarantor, belonging to the institution), Pavel RYCHLÝ (203 Czechia, belonging to the institution) and Pavel ŠMERK (203 Czechia, 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 Czechia
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
Keywords in English terminology extraction; natural language processing; legal language
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 30/4/2014 04:24.
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.
GA407/07/0679, research and development projectName: Právní e-slovník - PES
Investor: Czech Science Foundation, Standard Projects
LC536, research and development projectName: Centrum komputační lingvistiky
Investor: Ministry of Education, Youth and Sports of the CR, Basic Research Center
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