ÚFAL Submission for SIGTYP Supervised Cognate Detection Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10476180" target="_blank" >RIV/00216208:11320/23:10476180 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2023.sigtyp-1.14" target="_blank" >https://aclanthology.org/2023.sigtyp-1.14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2023.sigtyp-1.14" target="_blank" >10.18653/v1/2023.sigtyp-1.14</a>
Alternative languages
Result language
angličtina
Original language name
ÚFAL Submission for SIGTYP Supervised Cognate Detection Task
Original language description
In this work, I present ÚFAL submission for the supervised task of detecting cognates and derivatives. Cognates are word pairs in different languages sharing the origin in earlier attested forms in ancestral language, while derivatives come directly from another language. For the task, I developed gradient boosted tree classifier trained on linguistic and statistical features. The solution came first from two delivered systems with an 87% F1 score on the test split. This write-up gives an insight into the system and shows the importance of using linguistic features and character-level statistics for the task.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
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 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
ISBN
978-1-959429-56-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
132-136
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Dubrovnik, Croatia
Event date
May 2, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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