TEI Analytics: converting documents into a TEI format for cross-collection text analysis
Identifieur interne : 000085 ( Main/Exploration ); précédent : 000084; suivant : 000086TEI Analytics: converting documents into a TEI format for cross-collection text analysis
Auteurs : Brian L. Pytlik Zillig [États-Unis]Source :
- Literary and Linguistic Computing [ 0268-1145 ] ; 2009-06.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
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, TEI Analytics (a TEI 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 TEI-A. This article has two aims: first, to describe the TEI-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.
Url:
DOI: 10.1093/llc/fqp005
Affiliations:
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Le document en format XML
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Pytlik Zillig</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Digital Research in the Humanities, University of Nebraska, Lincoln, NE</wicri:regionArea><placeName><region type="state">Nebraska</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation></author></analytic><monogr></monogr><series><title level="j">Literary and Linguistic Computing</title><idno type="ISSN">0268-1145</idno><idno type="eISSN">1477-4615</idno><imprint><publisher>Oxford University Press</publisher><date type="published" when="2009-06">2009-06</date><biblScope unit="volume">24</biblScope><biblScope unit="issue">2</biblScope><biblScope unit="page" from="187">187</biblScope><biblScope unit="page" to="192">192</biblScope></imprint><idno type="ISSN">0268-1145</idno></series><idno type="istex">5A0FF8D4446AA580A277839CACF787F8BEEC9271</idno><idno type="DOI">10.1093/llc/fqp005</idno><idno type="ArticleID">fqp005</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0268-1145</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Data conversion</term><term>Markup</term><term>Text</term><term>XML language</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Balisage (document)</term><term>Conversion de données</term><term>Langage XML</term><term>TEI (Text Encoding Initiative)</term><term>Texte</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">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, TEI Analytics (a TEI 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 TEI-A. This article has two aims: first, to describe the TEI-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.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Nebraska</li></region></list><tree><country name="États-Unis"><region name="Nebraska"><name sortKey="Pytlik Zillig, Brian L" sort="Pytlik Zillig, Brian L" uniqKey="Pytlik Zillig B" first="Brian L." last="Pytlik Zillig">Brian L. Pytlik Zillig</name></region><name sortKey="Pytlik Zillig, Brian L" sort="Pytlik Zillig, Brian L" uniqKey="Pytlik Zillig B" first="Brian L." last="Pytlik Zillig">Brian L. Pytlik Zillig</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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