The paper gives an overview of the recent developments in the enrichment of the reference Corpus of Contemporary Romanian (CoRoLa), within on-going international projects. Statistics of the newly acquired data, work methodology and work towards inclusion of a new annotation layer, the syntactic one, are detailed. We briefly present RODNA, an updated Romanian text processor with state-of-the-art performance on POS tagging, lemmatization and dependency parsing that will be used to populate the syntactic layer of CoRoLa.

EuroVoc is a multilingual thesaurus that was built for organizing the legislative documentary of the European Union institutions. It contains thousands of categories at different levels of specificity and its descriptors are targeted by legal texts in almost thirty languages. In this work we propose a unified framework for EuroVoc classification on 22 languages by fine-tuning modern Transformer-based pretrained language models. We study extensively the performance of our trained models and show that they significantly improve the results obtained by a similar tool - JEX - on the same dataset. The code and the fine-tuned models were open sourced, together with a programmatic interface that eases the process of loading the weights of a trained model and of classifying a new document.