Findings of the SIGTYP 2023 Shared task on Cognate and Derivative Detection For Low-Resourced Languages

Priya Rani, Koustava Goswami, Adrian Doyle, Theodorus Fransen, Bernardo Stearns, John P. McCrae


Abstract
This paper describes the structure and findings of the SIGTYP 2023 shared task on cognate and derivative detection for low-resourced languages, broken down into a supervised and unsupervised sub-task. The participants were asked to submit the test data’s final prediction. A total of nine teams registered for the shared task where seven teams registered for both sub-tasks. Only two participants ended up submitting system descriptions, with only one submitting systems for both sub-tasks. While all systems show a rather promising performance, all could be within the baseline score for the supervised sub-task. However, the system submitted for the unsupervised sub-task outperforms the baseline score.
Anthology ID:
2023.sigtyp-1.13
Volume:
Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
Month:
May
Year:
2023
Address:
Dubrovnik, Croatia
Editors:
Lisa Beinborn, Koustava Goswami, Saliha Muradoğlu, Alexey Sorokin, Ritesh Kumar, Andreas Shcherbakov, Edoardo M. Ponti, Ryan Cotterell, Ekaterina Vylomova
Venue:
SIGTYP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
126–131
Language:
URL:
https://aclanthology.org/2023.sigtyp-1.13
DOI:
10.18653/v1/2023.sigtyp-1.13
Bibkey:
Cite (ACL):
Priya Rani, Koustava Goswami, Adrian Doyle, Theodorus Fransen, Bernardo Stearns, and John P. McCrae. 2023. Findings of the SIGTYP 2023 Shared task on Cognate and Derivative Detection For Low-Resourced Languages. In Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, pages 126–131, Dubrovnik, Croatia. Association for Computational Linguistics.
Cite (Informal):
Findings of the SIGTYP 2023 Shared task on Cognate and Derivative Detection For Low-Resourced Languages (Rani et al., SIGTYP 2023)
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