TEI Analytics: converting documents into a TEI format for cross-collection text analysis
Identifieur interne :
000018 ( PascalFrancis/Corpus );
précédent :
000017;
suivant :
000019
TEI Analytics: converting documents into a TEI format for cross-collection text analysis
Auteurs : Brian L. Pytlik ZilligSource :
-
Literary and linguistic computing [ 0268-1145 ] ; 2009.
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.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
A01 | 01 | 1 | | @0 0268-1145 |
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A03 | | 1 | | @0 Lit. linguist. comput. |
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A05 | | | | @2 24 |
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A06 | | | | @2 2 |
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A08 | 01 | 1 | ENG | @1 TEI Analytics: converting documents into a TEI format for cross-collection text analysis |
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A09 | 01 | 1 | ENG | @1 Digital Humanities 2008, University of Oulu, Finland, June 25-29 |
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A11 | 01 | 1 | | @1 PYTLIK ZILLIG (Brian L.) |
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A12 | 01 | 1 | | @1 OPAS-HÄNNINEN (Lisa Lena) @9 ed. |
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A12 | 02 | 1 | | @1 ORE (Espen S.) @9 ed. |
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A12 | 03 | 1 | | @1 WARWICK (Claire) @9 ed. |
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A14 | 01 | | | @1 Center for Digital Research in the Humanities, University of Nebraska @2 Lincoln, NE @3 USA @Z 1 aut. |
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A15 | 01 | | | @1 University of Oulu @3 FIN @Z 1 aut. |
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A15 | 02 | | | @1 National Library of Norway @2 Oslo @3 NOR @Z 2 aut. |
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A15 | 03 | | | @1 University College @2 London @3 GBR @Z 3 aut. |
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A20 | | | | @1 187-192 |
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A21 | | | | @1 2009 |
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A23 | 01 | | | @0 ENG |
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A43 | 01 | | | @1 INIST @2 23967 @5 354000187096500060 |
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A44 | | | | @0 0000 @1 © 2010 INIST-CNRS. All rights reserved. |
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A45 | | | | @0 1/4 p. |
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A47 | 01 | 1 | | @0 10-0030973 |
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A60 | | | | @1 P @2 C |
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A61 | | | | @0 A |
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A64 | 01 | 1 | | @0 Literary and linguistic computing |
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A66 | 01 | | | @0 GBR |
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C01 | 01 | | ENG | @0 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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C02 | 01 | X | | @0 001A01E02B |
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C03 | 01 | X | FRE | @0 Texte @5 04 |
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C03 | 01 | X | ENG | @0 Text @5 04 |
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C03 | 01 | X | SPA | @0 Texto @5 04 |
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C03 | 02 | X | FRE | @0 Conversion de données @5 05 |
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C03 | 02 | X | ENG | @0 Data conversion @5 05 |
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C03 | 02 | X | SPA | @0 Conversión datos @5 05 |
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C03 | 03 | X | FRE | @0 Balisage (document) @2 563 @5 06 |
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C03 | 03 | X | ENG | @0 Markup @2 563 @5 06 |
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C03 | 03 | X | SPA | @0 Etiqueta @2 563 @5 06 |
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C03 | 04 | X | FRE | @0 Langage XML @5 07 |
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C03 | 04 | X | ENG | @0 XML language @5 07 |
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C03 | 04 | X | SPA | @0 Lenguaje XML @5 07 |
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C03 | 05 | X | FRE | @0 TEI (Text Encoding Initiative) @4 INC @5 27 |
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N21 | | | | @1 018 |
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|
pR |
A30 | 01 | 1 | ENG | @1 Digital Humanities 2008 @3 Oulu FIN @4 2008-06-25 |
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|
Format Inist (serveur)
NO : | PASCAL 10-0030973 INIST |
ET : | TEI Analytics: converting documents into a TEI format for cross-collection text analysis |
AU : | PYTLIK ZILLIG (Brian L.); OPAS-HÄNNINEN (Lisa Lena); ORE (Espen S.); WARWICK (Claire) |
AF : | Center for Digital Research in the Humanities, University of Nebraska/Lincoln, NE/Etats-Unis (1 aut.); University of Oulu/Finlande (1 aut.); National Library of Norway/Oslo/Norvège (2 aut.); University College/London/Royaume-Uni (3 aut.) |
DT : | Publication en série; Congrès; Niveau analytique |
SO : | Literary and linguistic computing; ISSN 0268-1145; Royaume-Uni; Da. 2009; Vol. 24; No. 2; Pp. 187-192; Bibl. 1/4 p. |
LA : | Anglais |
EA : | 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. |
CC : | 001A01E02B |
FD : | Texte; Conversion de données; Balisage (document); Langage XML; TEI (Text Encoding Initiative) |
ED : | Text; Data conversion; Markup; XML language |
SD : | Texto; Conversión datos; Etiqueta; Lenguaje XML |
LO : | INIST-23967.354000187096500060 |
ID : | 10-0030973 |
Links to Exploration step
Pascal:10-0030973
Le document en format XML
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