TEl Analytics: converting documents into a TEl format for cross-collection text analysis.
For the purposes of large-scale analysis of XML/SGML files, converting humanities texts into a common form of markup represents a technical challenge. The MONK (Metadata Offer New Knowledge) Project has developed both a common format, TEl Analytics (a TEl subset designed to facilitate interoperabili...
| Publicado en: | Literary & Linguistic Computing Vol. 24; no. 2; pp. 187 - 193 |
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| Formato: | Artículo |
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Oxford University Press / USA
Jun2009
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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=42008286&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 42008286 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 02681145 BJ1 jtl: Literary & Linguistic Computing issn: 02681145 maglogo: N pubinfo: dt: Jun2009 vid: 24 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 42008286 10.1093/llc/fqp005 ppf: 187 ppct: 6 formats: fmt: @attributes: type: P size: 64KB tig: atl: TEl Analytics: converting documents into a TEl format for cross-collection text analysis. aug: au: Pytlik Zilhig, Brian L. affil: Center for Digital Research in the Humanities, University of Nebraska, Lincoln, NE, USA su: Text Encoding Initiative (Document type definition) File conversion (Computer science) XML (Extensible Markup Language) SGML (Document markup language) Document markup languages Internetworking Metadata Humanities sug: subj: Text Encoding Initiative (Document type definition) File conversion (Computer science) XML (Extensible Markup Language) SGML (Document markup language) Document markup languages Internetworking Metadata Humanities ab: For the purposes of large-scale analysis of XML/SGML files, converting humanities texts into a common form of markup represents a technical challenge. The MONK (Metadata Offer New Knowledge) Project has developed both a common format, TEl Analytics (a TEl subset designed to facilitate interoperability of text archives) and a command-line tool, Abbot, that performs the conversion. Abbot relies upon a new technique, schema harvesting, developed by the author to convert text documents into TEl-A. This article has two aims: first, to describe the TEl-A format itself and, second, to outline the methods used to convert files. More generally, it is hoped that the techniques described will lead to greater interoperability of text documents for text analysis in a wider context. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Literary & Linguistic Computing holder: Oxford University Press / USA dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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