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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F10%3A00065871%21RIV14-MSM-14330___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
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. 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.
dcterms:title
Automatic Identification of Legal Terms in Czech Law Texts Automatic Identification of Legal Terms in Czech Law Texts
skos:prefLabel
Automatic Identification of Legal Terms in Czech Law Texts Automatic Identification of Legal Terms in Czech Law Texts
skos:notation
RIV/00216224:14330/10:00065871!RIV14-MSM-14330___
n3:aktivita
n22:P
n3:aktivity
P(GA407/07/0679), P(LC536)
n3:dodaniDat
n6:2014
n3:domaciTvurceVysledku
n13:1322451 n13:6616844 n13:6076939
n3:druhVysledku
n20:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
248189
n3:idVysledku
RIV/00216224:14330/10:00065871
n3:jazykVysledku
n17:eng
n3:klicovaSlova
terminology extraction; natural language processing; legal language
n3:klicoveSlovo
n7:terminology%20extraction n7:legal%20language n7:natural%20language%20processing
n3:kontrolniKodProRIV
[96DF2FFFC37B]
n3:mistoKonaniAkce
Marakech, Morocco
n3:mistoVydani
Berlin
n3:nazevZdroje
Semantic Processing of Legal Texts
n3:obor
n19:AI
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n4:GA407%2F07%2F0679 n4:LC536
n3:rokUplatneniVysledku
n6:2010
n3:tvurceVysledku
Šmerk, Pavel Pala, Karel Rychlý, Pavel
n3:typAkce
n15:WRD
n3:zahajeniAkce
2008-01-01+01:00
s:issn
0302-9743
s:numberOfPages
12
n14:doi
10.1007/978-3-642-12837-0_5
n18:hasPublisher
Springer-Verlag
n16:isbn
9783642128363
n11:organizacniJednotka
14330