Silvia Luraghi


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PaVeDa - Pavia Verbs Database: Challenges and Perspectives
Chiara Zanchi | Silvia Luraghi | Claudia Roberta Combei
Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP

This paper describes an ongoing endeavor to construct Pavia Verbs Database (PaVeDa) – an open-access typological resource that builds upon previous work on verb argument structure, in particular the Valency Patterns Leipzig (ValPaL) project (Hartmann et al., 2013). The PaVeDa database features four major innovations as compared to the ValPaL database: (i) it includes data from ancient languages enabling diachronic research; (ii) it expands the language sample to language families that are not represented in the ValPaL; (iii) it is linked to external corpora that are used as sources of usage-based examples of stored patterns; (iv) it introduces a new cross-linguistic layer of annotation for valency patterns which allows for contrastive data visualization.