Modeling Idiom Variability with Entropy and Distributional Semantics

DSpace Repository

Modeling Idiom Variability with Entropy and Distributional Semantics

Lebani, Gianluca E.; Senaldi, Marco S. G.; Lenci, Alessandro
Dateien:
Thumbnail
217. KB
PDF
URI: http://hdl.handle.net/10900/67195
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-671952
http://dx.doi.org/10.15496/publikation-8615
Dokumentart: ConferencePaper
Date: 2015-11-04
Language: English
Faculty: 5 Philosophische Fakultät
5 Philosophische Fakultät
Department: Allgemeine u. vergleichende Sprachwissenschaft
DDC Classifikation: 400 - Language and Linguistics
Keywords: Linguistik
License: http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en
Order a printed copy: Print-on-Demand
Show full item record

Abstract:

In this paper we assessed the cognitive plausibility of corpus-based flexibility measures for a sample of Italian idioms taken from the normative data by Tabossi et al. (2011). We found that psycholinguistic judgments on idiom predictability, literality and syntactic flexibility can be modeled by distributional representations of idiom semantics, entropy-based formal flexibility measures, frequency and the number of fully lexicalized arguments of idioms.

This item appears in the following Collection(s)