Open AccessКритерії відбору та первинна обробка емпіричного матеріалу паралельного корпусу юридичних текстів
Author(s) -
Svitlana Matvieieva
Publication year - 2019
Publication title -
forum filologiczne ateneum
Language(s) - English
Resource type - Journals
ISSN - 2353-2912
DOI - 10.36575/2353-2912/1(7)2019.167
Subject(s) - linguistics , computer science , natural language processing , selection (genetic algorithm) , ukrainian , style (visual arts) , artificial intelligence , metadata , corpus linguistics , information retrieval , world wide web , literature , art , philosophy
The article deals with the formation of criteria for the primary selection of legal texts for the English-Ukrainian parallel corpus of legal texts. The author has developed a classification of legal texts on the basis of the style and text genres, taking into account the types of legal acts, and makes an attempt to combine legal and linguistic characteristics applicable to the classification of legal documents. The article proposes the structure of the metadata card for corpus texts (original and translation), which are tested on text samples. The need for metatext data and extra-linguistic information for working with corpus texts is substantiated in the article.