Gaussian Process Models of Sound Change in Indo-Aryan Dialectology

Chundra Cathcart


Abstract
This paper proposes a Gaussian Process model of sound change targeted toward questions in Indo-Aryan dialectology. Gaussian Processes (GPs) provide a flexible means of expressing covariance between outcomes, and can be extended to a wide variety of probability distributions. We find that GP models fare better in terms of some key posterior predictive checks than models that do not express covariance between sound changes, and outline directions for future work.
Anthology ID:
W19-4732
Volume:
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change
Month:
August
Year:
2019
Address:
Florence, Italy
Editors:
Nina Tahmasebi, Lars Borin, Adam Jatowt, Yang Xu
Venue:
LChange
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
254–264
Language:
URL:
https://aclanthology.org/W19-4732
DOI:
10.18653/v1/W19-4732
Bibkey:
Cite (ACL):
Chundra Cathcart. 2019. Gaussian Process Models of Sound Change in Indo-Aryan Dialectology. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pages 254–264, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Gaussian Process Models of Sound Change in Indo-Aryan Dialectology (Cathcart, LChange 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-4732.pdf