Italian VerbNet: A Construction based Approach to Italian Verb Classification

Abstract

This paper proposes a new method for Italian verb classification -and a preliminary example of resulting classes- inspired by Levin (1993) and VerbNet (Kipper-Schuler, 2005), yet partially independent from these resources; we achieved such a result by integrating Levin and VerbNet’s models of classification with other theoretic frameworks and resources. The classification is rooted in the constructionist framework (Goldberg, 1995; 2006) and is distribution-based. It is also semantically characterized by a link to FrameNet’ssemanticframesto represent the event expressed by a class. However, the new Italian classes maintain the hierarchic “tree” structure and monotonic nature of VerbNet’s classes, and, where possible, the original names (e.g.: Verbs of Killing, Verbs of Putting, etc.). We therefore propose here a taxonomy compatible with VerbNet but at the same time adapted to Italian syntax and semantics. It also addresses a number of problems intrinsic to the original classifications, such as the role of argument alternations, here regarded simply as epiphenomena, consistently with the constructionist approach.

Divisions: ?? 53981500Jl ??
College of Business and Social Sciences > School of Social Sciences & Humanities
College of Business and Social Sciences > Aston Institute for Forensic Linguistics
College of Business and Social Sciences > School of Social Sciences & Humanities > English Languages and Applied Linguistics
Additional Information: Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
Event Title: 10th Language Resources and Evaluation Conference
Event Type: Other
Event Dates: 2016-05-23 - 2016-05-28
Uncontrolled Keywords: Arts and Humanities(all)
ISBN: 978-2-9517408-9-1, 978-2-9517408-9-1
PURE Output Type: Conference contribution
Published Date: 2016-05
Accepted Date: 2016-01-01
Authors: Busso, Lucia (ORCID Profile 0000-0002-5665-771X)
Lenci, Alessandro

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