Multivariate Analysis of Finnish Dialect Data—An Overview of Lexical Variation.
During the process of writing a comprehensive dictionary of Finnish dialects, a large set of maps describing the regional distribution of the dialect words have been compiled in electronic form. In this article, we set out to analyse this corpus of data in order to gain new insight on the variation...
| Published in: | Literary & Linguistic Computing Vol. 22; no. 3; pp. 271 - 291 |
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| Main Authors: | , , |
| Format: | Article |
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Oxford University Press / USA
Sep2007
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=26863967&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 26863967 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 02681145 BJ1 jtl: Literary & Linguistic Computing issn: 02681145 maglogo: N pubinfo: dt: Sep2007 vid: 22 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 26863967 10.1093/llc/fqm009 ppf: 271 ppct: 20 formats: fmt: @attributes: type: P size: 651KB tig: atl: Multivariate Analysis of Finnish Dialect Data—An Overview of Lexical Variation. aug: au: Hyvönen, Saara Leino, Antti Salmenkivi, Marko affil: Department of Computer Science, Helsinki Institute for Information Technology, University of Helsinki, P.O. Box 68, FI-00014, Finland Department of Computer Science, University of Helsinki, Research Institute for the Languages of Finland Research Institute for the Languages of Finland su: Dialects Multivariate analysis Encyclopedias & dictionaries Lexicology Principal components analysis Finland sug: subj: Finland Dialects Multivariate analysis Encyclopedias & dictionaries Lexicology Principal components analysis ab: During the process of writing a comprehensive dictionary of Finnish dialects, a large set of maps describing the regional distribution of the dialect words have been compiled in electronic form. In this article, we set out to analyse this corpus of data in order to gain new insight on the variation of Finnish dialects. We use a wide range of multivariate data analysis methods, including principal components analysis, independent components analysis, clustering, and multi-dimensional scaling. We explain how to preprocess the data to overcome the problem of uneven sampling caused by the way the data has been collected. We discuss the results obtained by these methods and compare them to the traditional view of Finnish dialect groups. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Literary & Linguistic Computing holder: Oxford University Press / USA dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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