Dialogue analysis: a case study on the New Testament.
There has been much research on the nature of dialogues in the Bible. While the research literature abounds with qualitative analyses on these dialogues, they are rarely corroborated on statistics from the entire text. In this article, we leverage a corpus of annotated direct speech in the New Testa...
| Publicado en: | Language Resources & Evaluation Vol. 53; no. 4; pp. 603 - 624 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Dec2019
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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=139882012&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 139882012 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Dec2019 vid: 53 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 139882012 10.1007/s10579-019-09461-9 ppf: 603 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P size: 512KB tig: atl: Dialogue analysis: a case study on the New Testament. aug: au: Yeung, Chak Yan Lee, John affil: Department of Linguistics and Translation, City University of Hong Kong, Kowloon Tong, Hong Kong su: New Testament Case studies Dialogue Quantitative research sug: subj: New Testament Case studies Dialogue Quantitative research keyword: Automatic speaker attribution Gospels ab: There has been much research on the nature of dialogues in the Bible. While the research literature abounds with qualitative analyses on these dialogues, they are rarely corroborated on statistics from the entire text. In this article, we leverage a corpus of annotated direct speech in the New Testament, as well as recent advances in automatic speaker and listener identification, to present a quantitative study on dialogue structure in the Gospels. The contributions of this article are three-fold. First, we quantify a variety of features that are widely used in characterizing dialogue structure—including dialogue length, turn length, and the initiation and conclusion of a dialogue—and show how they distinguish between different Gospels. Second, we compare our statistics with qualitative comments in the New Testament research literature, and extend them to cover the entirety of the Gospels. Most significantly, we gauge the feasibility of applying our approach to other literary works, by measuring the amount of errors that would be introduced by automatically identified dialogues, speakers and listeners. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2019. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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