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TEI Analytics: converting documents into a TEI format for cross-collection text analysis

Identifieur interne : 000116 ( Main/Merge ); précédent : 000115; suivant : 000117

TEI Analytics: converting documents into a TEI format for cross-collection text analysis

Auteurs : Brian L. Pytlik Zillig [États-Unis]

Source :

RBID : Pascal:10-0030973

Descripteurs français

English descriptors

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.

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Links to Exploration step

Pascal:10-0030973

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" level="a">TEI Analytics: converting documents into a TEI format for cross-collection text analysis</title>
<author>
<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>
<affiliation wicri:level="2">
<inist:fA14 i1="01">
<s1>Center for Digital Research in the Humanities, University of Nebraska</s1>
<s2>Lincoln, NE</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName>
<region type="state">Nebraska</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">INIST</idno>
<idno type="inist">10-0030973</idno>
<date when="2009">2009</date>
<idno type="stanalyst">PASCAL 10-0030973 INIST</idno>
<idno type="RBID">Pascal:10-0030973</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000018</idno>
<idno type="stanalyst">FRANCIS 10-0030973 INIST</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000023</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000027</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">000013</idno>
<idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">000013</idno>
<idno type="wicri:doubleKey">0268-1145:2009:Pytlik Zillig B:tei:analytics:converting</idno>
<idno type="wicri:Area/Main/Merge">000116</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a">TEI Analytics: converting documents into a TEI format for cross-collection text analysis</title>
<author>
<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>
<affiliation wicri:level="2">
<inist:fA14 i1="01">
<s1>Center for Digital Research in the Humanities, University of Nebraska</s1>
<s2>Lincoln, NE</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName>
<region type="state">Nebraska</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Literary and linguistic computing</title>
<title level="j" type="abbreviated">Lit. linguist. comput.</title>
<idno type="ISSN">0268-1145</idno>
<imprint>
<date when="2009">2009</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Literary and linguistic computing</title>
<title level="j" type="abbreviated">Lit. linguist. comput.</title>
<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>Texte</term>
<term>Conversion de données</term>
<term>Balisage (document)</term>
<term>Langage XML</term>
<term>TEI (Text Encoding Initiative)</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">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>
</country>
</tree>
</affiliations>
</record>

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{{Explor lien
   |wiki=    Wicri/Ticri
   |area=    TeiVM2
   |flux=    Main
   |étape=   Merge
   |type=    RBID
   |clé=     Pascal:10-0030973
   |texte=   TEI Analytics: converting documents into a TEI format for cross-collection text analysis
}}

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