Informace o publikaci

Automatic Identification of Legal Terms in Czech Law Texts

Název česky Automatická identifikace právních termínů v českých právních textech


Rok publikování 2010
Druh Článek ve sborníku
Konference Semantic Processing of Legal Texts
Fakulta / Pracoviště MU

Fakulta informatiky

Obor Jazykověda
Klíčová slova terminology extraction; natural language processing; legal language
Popis 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.
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