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@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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