@inproceedings{cathcart-2019-gaussian,
title = "{G}aussian Process Models of Sound Change in {I}ndo-{A}ryan Dialectology",
author = "Cathcart, Chundra",
booktitle = "Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-4732",
doi = "10.18653/v1/W19-4732",
pages = "254--264",
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.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="cathcart-2019-gaussian">
<titleInfo>
<title>Gaussian Process Models of Sound Change in Indo-Aryan Dialectology</title>
</titleInfo>
<name type="personal">
<namePart type="given">Chundra</namePart>
<namePart type="family">Cathcart</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2019-aug</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change</title>
</titleInfo>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Florence, Italy</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<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.</abstract>
<identifier type="citekey">cathcart-2019-gaussian</identifier>
<identifier type="doi">10.18653/v1/W19-4732</identifier>
<location>
<url>https://aclanthology.org/W19-4732</url>
</location>
<part>
<date>2019-aug</date>
<extent unit="page">
<start>254</start>
<end>264</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Gaussian Process Models of Sound Change in Indo-Aryan Dialectology
%A Cathcart, Chundra
%S Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change
%D 2019
%8 aug
%I Association for Computational Linguistics
%C Florence, Italy
%F cathcart-2019-gaussian
%X 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.
%R 10.18653/v1/W19-4732
%U https://aclanthology.org/W19-4732
%U https://doi.org/10.18653/v1/W19-4732
%P 254-264
Markdown (Informal)
[Gaussian Process Models of Sound Change in Indo-Aryan Dialectology](https://aclanthology.org/W19-4732) (Cathcart, 2019)
ACL