Computational treatment of support verb constructions in Italian and in Russian

We aim at comparing some corpora-based computational resources that enable us to analyse the collocational profiles of the SVCs in both languages. The resources include SketchEngine, which works for both languages, Lexit for Italian and NKRJA for Russian. The case study focuses on the Italian verb mettere followed by a prepositional phrase with the prepositions in and a, and the corresponding Russian verb stavit’/postavit’ followed by a prepositional phrase with the prepositions v and na. We discuss the options offered by the tools at the syntax-semantic interface. A closer comparison of the three tools shows that they provide different data. We have explored some aspects of the semantic tagging of Lexit and NKRJA and propose an integration of the two tools. It seems that further development of semantic tagging could be helpful in creating Italian-Russian lexicographic resources.