Typological Word Order Correlations with Logistic Brownian Motion

Kai Hartung, Gerhard Jäger, Sören Gröttrup, Munir Georges
{"title":"Typological Word Order Correlations with Logistic Brownian Motion","authors":"Kai Hartung, Gerhard Jäger, Sören Gröttrup, Munir Georges","doi":"10.18653/v1/2022.sigtyp-1.3","DOIUrl":null,"url":null,"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.","PeriodicalId":255232,"journal":{"name":"Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/2022.sigtyp-1.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
类型语序与Logistic布朗运动的相关性
在这项研究中,我们解决了不同语言的句法词序特征在关联下进化到何种程度,以及这种依赖关系是否可以在所有语言中普遍存在或仅限于特定语系。为此,我们使用贝叶斯框架下的逻辑布朗运动来模拟34个语族的768种语言的特征进化。我们在单个家庭和所有家庭中都测试了性状相关性。单独的模型没有显示出普遍的相关模式,贝叶斯因子分析在所有覆盖的家族中也强烈显示出谱系特定的相关模式,而不是普遍的依赖关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Tweaking UD Annotations to Investigate the Placement of Determiners, Quantifiers and Numerals in the Noun Phrase Mockingbird at the SIGTYP 2022 Shared Task: Two Types of Models forthe Prediction of Cognate Reflexes A Transformer Architecture for the Prediction of Cognate Reflexes Bayesian Phylogenetic Cognate Prediction PaVeDa - Pavia Verbs Database: Challenges and Perspectives
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1