Article: Collating Texts Using Progressive Multiple Alignment.
To reconstruct a stemma or do any other kind of statistical analysis of a text tradition, one needs accurate data on the variants occurring at each location in each witness. These data are usually obtained from computer collation programs. Existing programs either collate every witness against a bas...
| Publicado en: | Computers & the Humanities Vol. 38; no. 3; pp. 253 - 271 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Aug2004
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| 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=15825061&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 15825061 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00104817 CHM jtl: Computers & the Humanities issn: 00104817 maglogo: N pubinfo: dt: Aug2004 vid: 38 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 15825061 10.1007/s10579-004-8682-1 ppf: 253 ppct: 18 formats: fmt: @attributes: type: P size: 133KB tig: atl: Article: Collating Texts Using Progressive Multiple Alignment. aug: au: Spencer, Matthew Howe, Christopher J. affil: Department of Mathematics and Statistics, Dalhousie University, Hal?fax, Nova Scotia, B3H 3J5, Canada. Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 JQW, UK. su: Article (Grammar) Statistics Algorithms Computer software Related party transactions Mathematics sug: subj: Article (Grammar) Statistics Algorithms Computer software Related party transactions Mathematics keyword: dynamic programming multiple alignment stemma reconstruction text collation variants ab: To reconstruct a stemma or do any other kind of statistical analysis of a text tradition, one needs accurate data on the variants occurring at each location in each witness. These data are usually obtained from computer collation programs. Existing programs either collate every witness against a base text or divide all texts up into segments as long as the longest variant phrase at each point. These methods do not give ideal data for stemma reconstruction. We describe a better collation algorithm (progressive multiple alignment) that collates all witnesses word by word without a base text, adding groups of witnesses one at a time, starting with the most closely related pair. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Computers & the Humanities is a copyright of Springer, 2004. All Rights Reserved. item: Computers & the Humanities holder: Springer Nature dt: @attributes: year: 2004 holdings: @attributes: islocal: N |
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