Carving verb classes from corpora
In this paper, I discuss some methodological problems arising from the use of corpus data for semantic verb classification. In particular, I present a computational framework to describe the distributional properties of Italian verbs using linguistic data automatically extracted from a large corpus. This information is used to build a distribution-based classification of a set of Italian verbs. It is small scale notwithstanding, this case study will provide evidence for the complex interplay between syntactic and semantic verb features.
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Cited by
Cited by 1 other publications
Cennamo, Michela & Alessandro Lenci
2019.
Gradience in Subcategorization? Locative Phrases with Italian Verbs of Motion.
Studia Linguistica 73:2
► pp. 369 ff.

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