Modeling the scholars: Detecting intertextuality through enhanced word-level n-gram matching.
The study of intertextuality, or how authors make artistic use of other texts in their works, has a long tradition, and has in recent years benefited from a variety of applications of digital methods. This article describes an approach for detecting the sorts of intertexts that literary scholars hav...
| Publicado en: | Digital Scholarship in the Humanities Vol. 30; no. 4; pp. 503 - 516 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Dec2015
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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=110423823&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 110423823 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2015 vid: 30 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 110423823 10.1093/llc/fqu014 ppf: 503 ppct: 13 formats: fmt: @attributes: type: P size: 663KB tig: atl: Modeling the scholars: Detecting intertextuality through enhanced word-level n-gram matching. aug: au: Forstall, Christopher Coffee, Neil Buck, Thomas Roache, Katherine Jacobson, Sarah affil: Department of Classics, University at Buffalo, SUNY, Buffalo, NY, USA su: Intertextuality Epic poetry Latin language Parallelism (Linguistics) Lamma language sug: subj: Intertextuality Epic poetry Latin language Parallelism (Linguistics) Lamma language ab: The study of intertextuality, or how authors make artistic use of other texts in their works, has a long tradition, and has in recent years benefited from a variety of applications of digital methods. This article describes an approach for detecting the sorts of intertexts that literary scholars have found most meaningful, as embodied in the free Tesserae website http://tesserae.caset.buffalo.edu/. Tests of Tesserae Versions 1 and 2 showed that word-level n-gram matching could recall a majority of parallels identified by scholarly commentators in a benchmark set. But these versions lacked precision, so that the meaningful parallels could be found only among long lists of those that were not meaningful. The Version 3 search described here adds a second stage scoring system that sorts the found parallels by a formula accounting for word frequency and phrase density. Testing against a benchmark set of intertexts in Latin epic poetry shows that the scoring system overall succeeds in ranking parallels of greater significance more highly, allowing site users to find meaningful parallels more quickly. Users can also choose to adjust both recall and precision by focusing only on results above given score levels. As a theoretical matter, these tests establish that lemma identity, word frequency, and phrase density are important constituents of what make a phrase parallel a meaningful intertext. 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: 2015 holdings: @attributes: islocal: N |
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