Recognising Groups among Dialects.
In this paper we apply various clustering algorithms to the dialect pronunciation data. At the same time we propose several evaluation techniques that should be used in order to deal with the instability of the clustering techniques. The results have shown that three hierarchical clustering algorith...
| Publicado en: | International Journal of Humanities & Arts Computing: A Journal of Digital Humanities Vol. 2; no. 1-2; pp. 153 - 173 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Edinburgh University Press
Mar2008
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=44213963&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 44213963 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 17538548 2QD7 jtl: International Journal of Humanities & Arts Computing: A Journal of Digital Humanities issn: 17538548 maglogo: N pubinfo: dt: Mar2008 vid: 2 iid: 1-2 pid: 2327 pub: Edinburgh University Press artinfo: ui: 44213963 10.3366/E1753854809000366 ppf: 153 ppct: 20 formats: fmt: @attributes: type: P size: 1.6MB tig: atl: Recognising Groups among Dialects. aug: au: Proki, Jelena Nerbonne, John su: Dialects Pronunciation Linguistic analysis Linguistic geography Comparative linguistics Algorithm research Hierarchy (Linguistics) sug: subj: Dialects Pronunciation Linguistic analysis Linguistic geography Comparative linguistics Algorithm research Hierarchy (Linguistics) ab: In this paper we apply various clustering algorithms to the dialect pronunciation data. At the same time we propose several evaluation techniques that should be used in order to deal with the instability of the clustering techniques. The results have shown that three hierarchical clustering algorithms are not suitable for the data we are working with. The rest of the tested algorithms have successfully detected two-way split of the data into the Eastern and Western dialects. At the aggregate level that we used in this research, no further division of sites can be asserted with high confidence. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of International Journal of Humanities & Arts Computing: A Journal of Digital Humanities is the property of Edinburgh University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: International Journal of Humanities & Arts Computing: A Journal of Digital Humanities holder: Edinburgh University Press dt: @attributes: year: 2008 holdings: @attributes: islocal: N |
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