创建托托纳克语-特佩瓦语比较词典

Grzegorz Kondrak, D. Beck, Philip Dilts
{"title":"创建托托纳克语-特佩瓦语比较词典","authors":"Grzegorz Kondrak, D. Beck, Philip Dilts","doi":"10.3115/1626516.1626533","DOIUrl":null,"url":null,"abstract":"We apply algorithms for the identification of cognates and recurrent sound correspondences proposed by Kondrak (2002) to the Totonac-Tepehua family of indigenous languages in Mexico. We show that by combining expert linguistic knowledge with computational analysis, it is possible to quickly identify a large number of cognate sets within the family. Our objective is to provide tools for rapid construction of comparative dictionaries for relatively unfamiliar language families.","PeriodicalId":186158,"journal":{"name":"Special Interest Group on Computational Morphology and Phonology Workshop","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Creating a Comparative Dictionary of Totonac-Tepehua\",\"authors\":\"Grzegorz Kondrak, D. Beck, Philip Dilts\",\"doi\":\"10.3115/1626516.1626533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We apply algorithms for the identification of cognates and recurrent sound correspondences proposed by Kondrak (2002) to the Totonac-Tepehua family of indigenous languages in Mexico. We show that by combining expert linguistic knowledge with computational analysis, it is possible to quickly identify a large number of cognate sets within the family. Our objective is to provide tools for rapid construction of comparative dictionaries for relatively unfamiliar language families.\",\"PeriodicalId\":186158,\"journal\":{\"name\":\"Special Interest Group on Computational Morphology and Phonology Workshop\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Special Interest Group on Computational Morphology and Phonology Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1626516.1626533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Special Interest Group on Computational Morphology and Phonology Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1626516.1626533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

我们应用了Kondrak(2002)提出的识别同源词和循环音对应的算法,该算法适用于墨西哥土着语言的Totonac-Tepehua家族。我们表明,通过将专家语言学知识与计算分析相结合,可以快速识别家族内的大量同源集。我们的目标是为相对陌生的语系提供快速构建比较词典的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating a Comparative Dictionary of Totonac-Tepehua
We apply algorithms for the identification of cognates and recurrent sound correspondences proposed by Kondrak (2002) to the Totonac-Tepehua family of indigenous languages in Mexico. We show that by combining expert linguistic knowledge with computational analysis, it is possible to quickly identify a large number of cognate sets within the family. Our objective is to provide tools for rapid construction of comparative dictionaries for relatively unfamiliar language families.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信