Year: 2006
Type: conference-paper
Abstract: The paper presents the SVEZ-IJS corpus, a large parallel annotated English-Slovene corpus containing translated legal texts of the European Union, the ACQUIS Communautaire.The corpus contains approx. 2 x 5 million words and was compiled from the translation memory obtained from the Translation Unit of the Slovene Government Office for European Affairs.The corpus is encoded in XML, according to the Text Encoding Initiative Guidelines TEI P4, where each translation memory unit contains useful metadata and the two aligned segments (sentences).Both the Slovene and English text is linguistically annotated at the word-level, by context disambiguated lemmas and morphosyntactic descriptions, which follow the MULTEXT guidelines.The complete corpus is freely available for research, either via an on-line concordancer, or for downloading from the corpus home page at http://nl.ijs.si/svez/.
Author: Tomaž Erjavec
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W77465090