AGILe: The First Lemmatizer for Ancient Greek Inscriptions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3ANI7HQDNN" target="_blank" >RIV/00216208:11320/22:NI7HQDNN - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2022.lrec-1.571" target="_blank" >https://aclanthology.org/2022.lrec-1.571</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AGILe: The First Lemmatizer for Ancient Greek Inscriptions
Original language description
To facilitate corpus searches by classicists as well as to reduce data sparsity when training models, we focus on the automatic lemmatization of ancient Greek inscriptions, which have not received as much attention in this sense as literary text data has. We show that existing lemmatizers for ancient Greek, trained on literary data, are not performant on epigraphic data, due to major language differences between the two types of texts. We thus train the first inscription-specific lemmatizer achieving above 80% accuracy, and make both the models and the lemmatized data available to the community. We also provide a detailed error analysis highlighting peculiarities of inscriptions which again highlights the importance of a lemmatizer dedicated to inscriptions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Thirteenth Language Resources and Evaluation Conference
ISBN
979-10-95546-72-6
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
5334-5344
Publisher name
European Language Resources Association
Place of publication
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Event location
Marseille, France
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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