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Vector space models of ancient Greek word meaning, and a case study on homer

Accepted version
Peer-reviewed

Type

Article

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Authors

Rodda, MA 
Probert, P 
McGillivray, Barbara  ORCID logo  https://orcid.org/0000-0003-3426-8200

Abstract

Our paper describes the creation and evaluation of a Distributional Semantics model of ancient Greek. We developed a vector space model where every word is represented by a vector which encodes information about its linguistic context(s). We validate different vector space models by testing their output against benchmarks obtained from scholarship from the ancient world, modern lexicography, and an NLP resource. Finally, to show how the model can be applied to a research task, we provide the example of a small-scale study of semantic variation in epic formulae, recurring units with limited linguistic flexibility.

Description

Keywords

Journal Title

TAL Traitement Automatique des Langues

Conference Name

Journal ISSN

1248-9433

Volume Title

60

Publisher

Association pour le Traitement Automatique des Langues (ATALA)

Publisher DOI

Rights

All rights reserved
Sponsorship
Alan Turing Institute (EP/N510129/1)