Journal article
Vector space models of Ancient Greek word meaning, and a case study on Homer
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 288.9KB, Terms of use)
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- Publication website:
- https://www.atala.org/content/tal_60_3_3
Authors
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/N510129/1
- Publisher:
- ATALA
- Journal:
- Traitement Automatique des Langues More from this journal
- Volume:
- 60
- Issue:
- 3
- Pages:
- 63-87
- Publication date:
- 2019-12-31
- Acceptance date:
- 2019-10-31
- EISSN:
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1248-9433
- ISSN:
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1965-0906
- Language:
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English
- Keywords:
- Pubs id:
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pubs:1078540
- UUID:
-
uuid:407804f7-5eb0-4c77-ba55-705b163e7a27
- Local pid:
-
pubs:1078540
- Source identifiers:
-
1078540
- Deposit date:
-
2019-12-20
Terms of use
- Copyright holder:
- ATALA
- Copyright date:
- 2019
- Rights statement:
- © 2019 ATALA
- Notes:
- This article has been published in the journal ’Traitement Automatique des Langues’ Volume 60: 63-87, 2019, @ ATALA. The original manuscript is available on the web site www.atala.org
- Licence:
- CC Attribution (CC BY)
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