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

Part-of-speech tagging or, more accurately, morphosyntactic tagging, is a procedure that assigns to each word token appearing in a text its morphosyntactic description, e.g. “masculine singular common noun in the genitive case”. Morphosyntactic tagging is an important component of many language technology applications, such as machine translation, speech synthesis, or information extraction. In the paper we report on an experiment on morphosyntactic tagging of Slovene, on a sample of Slovene legal language. We evaluate the accuracy of the TnT tagger, which had been trained on the MULTEXT-East language resources for Slovene. The test data come from the freely available parallel English-Slovene corpus SVEZ-IJS, which contains the Slovene translation European Union legal acts. Presented are the details of the manually corrected test corpus and an analysis of the tagging errors. The paper also discusses a simple transformation-based program that fixes some of the more common errors, and concludes with some directions for future work. Povzetek: V prispevku je opisan poskus oblikoslovnega označevanja na vzorcu slovenskih pravnih besedil.