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
- 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)
- PDF:
- https://preview.aclanthology.org/iscls-2024-ingestion/W19-4732.pdf