Computational Latin Linguistics (McGillivray): Difference between revisions

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[[category:dissertations|Mcgillivray B Computational]]
[[category:dissertations|Mcgillivray B Computational]]
[[category:Linguistics]]
[[category:Linguistics]]
[[Category:WordNet]]
[[category:Semantic analysis]]

Latest revision as of 17:07, 7 September 2021

Title

  • A computational approach to Latin verbs: new resources and methods

Status: completed (defended in December 2010)

https://etd.adm.unipi.it/theses/available/etd-10072010-112039/unrestricted/tesi.pdf

Author

  • Barbara McGillivray

Supervisors: Giovanna Marotta, Alessandro Lenci - Dipartimento di Linguistica, University of Pisa.

Description

This thesis presents the application of computational methods to the study of Latin verbs. In particular, the author describes the creation of a sub-categorization lexicon extracted automatically from annotated corpora. Furthermore she presents a probabilistic model for the acquisition of selection preferences from annotated corpora and Latin WordNet. Finally, the author describes the results of a diachronic quantitative study on Latin spatial preverbs.