A new method in establishing quantitative relationships between manuscripts of the New Testament.
New Testament textual critics have for decades calculated the similarities between the manuscripts in a similar manner, using collations and variation units. This conventional methodology requires enormous amounts of time and manual work. Here is proposed a new method that does not require these pre...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 1; pp. 151 - 167 |
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| Formato: | Artículo |
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Oxford University Press / USA
Apr2023
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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=162941094&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 162941094 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2023 vid: 38 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 162941094 10.1093/llc/fqac030 ppf: 151 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 380KB tig: atl: A new method in establishing quantitative relationships between manuscripts of the New Testament. aug: au: Hyytiäinen, Pasi affil: New Testament studies, University of Helsinki , Finland su: New Testament Manual labor Manuscripts Quantitative research sug: subj: New Testament Manual labor Manuscripts Quantitative research ab: New Testament textual critics have for decades calculated the similarities between the manuscripts in a similar manner, using collations and variation units. This conventional methodology requires enormous amounts of time and manual work. Here is proposed a new method that does not require these preprocessing steps, enabling the establishment of quantitative relationships using manuscript transcriptions only. This is achieved by applying a technique called shingling, where the manuscript transcriptions are turned in a computerized manner into smaller pieces called tokens or k -grams. Then, a string metric is used to calculate the similarities between the tokenized strings. This method is efficient, meaning that it allows critics to consider all textual evidence in each manuscript tradition. At the same time, it returns similarity values that are compatible with those of conventional approaches. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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