Bayesian Phylogenetic Cognate Prediction

Gerhard Jäger


Abstract
In Jäger (2019) a computational framework was defined to start from parallel word lists of related languages and infer the corresponding vocabulary of the shared proto-language. The SIGTYP 2022 Shared Task is closely related. The main difference is that what is to be reconstructed is not the proto-form but an unknown word from an extant language. The system described here is a re-implementation of the tools used in the mentioned paper, adapted to the current task.
Anthology ID:
2022.sigtyp-1.8
Volume:
Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
Month:
July
Year:
2022
Address:
Seattle, Washington
Editors:
Ekaterina Vylomova, Edoardo Ponti, Ryan Cotterell
Venue:
SIGTYP
SIG:
SIGTYP
Publisher:
Association for Computational Linguistics
Note:
Pages:
63–69
Language:
URL:
https://aclanthology.org/2022.sigtyp-1.8
DOI:
10.18653/v1/2022.sigtyp-1.8
Bibkey:
Cite (ACL):
Gerhard Jäger. 2022. Bayesian Phylogenetic Cognate Prediction. In Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, pages 63–69, Seattle, Washington. Association for Computational Linguistics.
Cite (Informal):
Bayesian Phylogenetic Cognate Prediction (Jäger, SIGTYP 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.sigtyp-1.8.pdf
Video:
 https://aclanthology.org/2022.sigtyp-1.8.mp4