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

Identifieur interne : 000023 ( PascalFrancis/Corpus ); précédent : 000022; suivant : 000024

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

Auteurs : Brian L. Pytlik Zillig

Source :

RBID : Francis: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
A03   1    @0 Lit. linguist. comput.
A05       @2 24
A06       @2 2
A08 01  1  ENG  @1 TEI Analytics: converting documents into a TEI format for cross-collection text analysis
A09 01  1  ENG  @1 Digital Humanities 2008, University of Oulu, Finland, June 25-29
A11 01  1    @1 PYTLIK ZILLIG (Brian L.)
A12 01  1    @1 OPAS-HÄNNINEN (Lisa Lena) @9 ed.
A12 02  1    @1 ORE (Espen S.) @9 ed.
A12 03  1    @1 WARWICK (Claire) @9 ed.
A14 01      @1 Center for Digital Research in the Humanities, University of Nebraska @2 Lincoln, NE @3 USA @Z 1 aut.
A15 01      @1 University of Oulu @3 FIN @Z 1 aut.
A15 02      @1 National Library of Norway @2 Oslo @3 NOR @Z 2 aut.
A15 03      @1 University College @2 London @3 GBR @Z 3 aut.
A20       @1 187-192
A21       @1 2009
A23 01      @0 ENG
A43 01      @1 INIST @2 23967 @5 354000187096500060
A44       @0 0000 @1 © 2010 INIST-CNRS. All rights reserved.
A45       @0 1/4 p.
A47 01  1    @0 10-0030973
A60       @1 P @2 C
A61       @0 A
A64 01  1    @0 Literary and linguistic computing
A66 01      @0 GBR
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.
C02 01  X    @0 790F02B @1 VI
C03 01  X  FRE  @0 Texte @5 04
C03 01  X  ENG  @0 Text @5 04
C03 01  X  SPA  @0 Texto @5 04
C03 02  X  FRE  @0 Conversion de données @5 05
C03 02  X  ENG  @0 Data conversion @5 05
C03 02  X  SPA  @0 Conversión datos @5 05
C03 03  X  FRE  @0 Balisage (document) @2 563 @5 06
C03 03  X  ENG  @0 Markup @2 563 @5 06
C03 03  X  SPA  @0 Etiqueta @2 563 @5 06
C03 04  X  FRE  @0 Langage XML @5 07
C03 04  X  ENG  @0 XML language @5 07
C03 04  X  SPA  @0 Lenguaje XML @5 07
C03 05  X  FRE  @0 TEI (Text Encoding Initiative) @4 INC @5 27
N21       @1 018
pR  
A30 01  1  ENG  @1 Digital Humanities 2008 @3 Oulu FIN @4 2008-06-25

Format Inist (serveur)

NO : FRANCIS 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 : 790F02B
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

Francis:10-0030973

Le document en format XML

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