Investigation of Transfer Languages for Parsing Latin: Italic Branch vs. Hellenic Branch
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10442285" target="_blank" >RIV/00216208:11320/21:10442285 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Investigation of Transfer Languages for Parsing Latin: Italic Branch vs. Hellenic Branch
Original language description
Choosing a transfer language is a crucial step in transfer learning. In much previous research on dependency parsing, related languages have successfully been used. However, when parsing Latin, it has been suggested that languages such as ancient Greek could be helpful. In this work we parse Latin in a low-resource scenario, with the main goal to investigate if Greek languages are more helpful for parsing Latin than related Italic languages, and show that this is indeed the case. We further investigate the influence of other factors including training set size and content as well as linguistic distances. We find that one explanatory factor seems to be the syntactic similarity between Latin and Ancient Greek. The influence of genres or shared annotation projects seems to have a smaller impact.
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
2021
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 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
ISBN
978-91-7929-614-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
315-320
Publisher name
Linköping University Electronic Press
Place of publication
Linköping
Event location
Reykjavik
Event date
May 31, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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