Automatic Identification of Legal Terms in Czech Law Texts

D 2010

Automatic Identification of Legal Terms in Czech Law Texts

PALA, Karel, Pavel RYCHLÝ a Pavel ŠMERK

Základní údaje

Originální název

Automatic Identification of Legal Terms in Czech Law Texts

Název česky

Automatická identifikace právních termínů v českých právních textech

Autoři

PALA, Karel (203 Česká republika, garant, domácí), Pavel RYCHLÝ (203 Česká republika, domácí) a Pavel ŠMERK (203 Česká republika, domácí)

Vydání

Berlin, Semantic Processing of Legal Texts, od s. 83-94, 12 s. 2010

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

60200 6.2 Languages and Literature

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/10:00065871

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-12836-3

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-12837-0_5

Klíčová slova anglicky

terminology extraction; natural language processing; legal language

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 30. 4. 2014 04:24, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

GA407/07/0679, projekt VaV

Název: Právní e-slovník - PES

Investor: Grantová agentura ČR, Právní e-slovník - PES

LC536, projekt VaV

Název: Centrum komputační lingvistiky

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum komputační lingvistiky

Citovat

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

@inproceedings{884809,
   author = {Pala, Karel and Rychlý, Pavel and Šmerk, Pavel},
   address = {Berlin},
   booktitle = {Semantic Processing of Legal Texts},
   doi = {http://dx.doi.org/10.1007/978-3-642-12837-0_5},
   keywords = {terminology extraction; natural language processing; legal language},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Berlin},
   isbn = {978-3-642-12836-3},
   pages = {83-94},
   publisher = {Springer},
   title = {Automatic Identification of Legal Terms in Czech Law Texts},
   year = {2010}
}

TY  - JOUR
ID  - 884809
AU  - Pala, Karel - Rychlý, Pavel - Šmerk, Pavel
PY  - 2010
TI  - Automatic Identification of Legal Terms in Czech Law Texts
PB  - Springer
CY  - Berlin
SN  - 9783642128363
KW  - terminology extraction
KW  - natural language processing
KW  - legal language
N2  - 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.
ER  -

PALA, Karel, Pavel RYCHLÝ a Pavel ŠMERK. Automatic Identification of Legal Terms in Czech Law Texts. In \textit{Semantic Processing of Legal Texts}. Berlin: Springer, 2010, s.~83-94. ISBN~978-3-642-12836-3. Dostupné z: https://dx.doi.org/10.1007/978-3-642-12837-0\_{}5.

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