@inproceedings{hartung-etal-2022-typological,
title = "Typological Word Order Correlations with Logistic Brownian Motion",
author = {Hartung, Kai and
J{\"a}ger, Gerhard and
Gr{\"o}ttrup, S{\"o}ren and
Georges, Munir},
editor = "Vylomova, Ekaterina and
Ponti, Edoardo and
Cotterell, Ryan",
booktitle = "Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP",
month = jul,
year = "2022",
address = "Seattle, Washington",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sigtyp-1.3/",
doi = "10.18653/v1/2022.sigtyp-1.3",
pages = "22--26",
abstract = "In this study we address the question to what extent syntactic word-order traits of different languages have evolved under correlation and whether such dependencies can be found universally across all languages or restricted to specific language families. To do so, we use logistic Brownian Motion under a Bayesian framework to model the trait evolution for 768 languages from 34 language families. We test for trait correlations both in single families and universally over all families. Separate models reveal no universal correlation patterns and Bayes Factor analysis of models over all covered families also strongly indicate lineage specific correlation patters instead of universal dependencies."
}
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<abstract>In this study we address the question to what extent syntactic word-order traits of different languages have evolved under correlation and whether such dependencies can be found universally across all languages or restricted to specific language families. To do so, we use logistic Brownian Motion under a Bayesian framework to model the trait evolution for 768 languages from 34 language families. We test for trait correlations both in single families and universally over all families. Separate models reveal no universal correlation patterns and Bayes Factor analysis of models over all covered families also strongly indicate lineage specific correlation patters instead of universal dependencies.</abstract>
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%0 Conference Proceedings
%T Typological Word Order Correlations with Logistic Brownian Motion
%A Hartung, Kai
%A Jäger, Gerhard
%A Gröttrup, Sören
%A Georges, Munir
%Y Vylomova, Ekaterina
%Y Ponti, Edoardo
%Y Cotterell, Ryan
%S Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, Washington
%F hartung-etal-2022-typological
%X In this study we address the question to what extent syntactic word-order traits of different languages have evolved under correlation and whether such dependencies can be found universally across all languages or restricted to specific language families. To do so, we use logistic Brownian Motion under a Bayesian framework to model the trait evolution for 768 languages from 34 language families. We test for trait correlations both in single families and universally over all families. Separate models reveal no universal correlation patterns and Bayes Factor analysis of models over all covered families also strongly indicate lineage specific correlation patters instead of universal dependencies.
%R 10.18653/v1/2022.sigtyp-1.3
%U https://aclanthology.org/2022.sigtyp-1.3/
%U https://doi.org/10.18653/v1/2022.sigtyp-1.3
%P 22-26
Markdown (Informal)
[Typological Word Order Correlations with Logistic Brownian Motion](https://aclanthology.org/2022.sigtyp-1.3/) (Hartung et al., SIGTYP 2022)
ACL