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EnglishIn 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. Its small scale notwithstanding, this case study will provide evidence for the complex interplay between syntactic and semantic verb features.
| Titolo: | Carving verb classes from corpora | |
| Autori: | Lenci A. | |
| Autori interni: | ||
| Anno del prodotto: | 2014 | |
| Abstract: | 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. Its small scale notwithstanding, this case study will provide evidence for the complex interplay between syntactic and semantic verb features. | |
| Digital Object Identifier (DOI): | 10.1075/cilt.332 (book DOI) | |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| In-Word-Classes-Nature-typology-and-representations.-Edited-by-Raffaele-Simone-and-Francesca-Masini-Amsterdam-Jonn-Benjamins-2014-Lenci.pdf | Versione finale editoriale | NON PUBBLICO - Accesso privato/ristretto | Utenti riconosciuti Richiedi una copia | |
| lenciWordClasses.final.pdf | Documento in Post-print | Tutti i diritti riservati (All rights reserved) | Open AccessVisualizza/Apri |
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