Serveur d'exploration sur la TEI

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Re-engineering a war-machine : ARTFL's encyclopédie

Identifieur interne : 000069 ( PascalFrancis/Curation ); précédent : 000068; suivant : 000070

Re-engineering a war-machine : ARTFL's encyclopédie

Auteurs : L. Andreev [États-Unis] ; J. Iverson [États-Unis] ; M. Olsen [États-Unis]

Source :

RBID : Francis:524-99-13071

Descripteurs français

English descriptors

Abstract

Current circumstances, specifically (i) competition from commercial developers and (ii) the need for compatibility between disparate data sources, suggest that it is crucially important to reconsider the ways in which the guidelines of the Text Encoding Initiative (TEI) are applied to computing projects in the humanities. Based on our work with Diderot and d'Alembert's Encyclopédie, we contend that, in many cases, light, automatically generated tagging is preferable to extensive manual mark-up. The massive size and complex textual structures of this work made it imperative to devise procedures that would eliminate the need for hand editing. Data capture for this project was limited to clear typographic conventions, using HTML conventions and simplified SGML-style tags. All identification of textual units (such as articles and cross-references) and textual attributes (such as authorship and subject headings) was then carried out automatically. The resulting hierarchical units (articles, words, paragraphs) can be queried in diverse ways using systems developed by the ARTFL Project. These systems provide full-text retrieval and full-text searching, either in the full text or in a sub-corpus defined by the user. The proven viability of these procedures leads us to assert that this model could be applied profitably to a much wider range of projects where cost-effectiveness and flexibility are desirable.
pA  
A01 01  1    @0 0268-1145
A03   1    @0 Lit. linguist. comput.
A05       @2 14
A06       @2 1
A08 01  1  ENG  @1 Re-engineering a war-machine : ARTFL's encyclopédie
A09 01  1  ENG  @1 The ALLC-ACH'98 Conference Issue
A11 01  1    @1 ANDREEV (L.)
A11 02  1    @1 IVERSON (J.)
A11 03  1    @1 OLSEN (M.)
A14 01      @1 Harvard University @2 Cambridge, MA @3 USA @Z 1 aut.
A14 02      @1 University of Missouri-Columbia @2 Columbia, MO @3 USA @Z 2 aut.
A14 03      @1 University of Chicago @2 Chicago, IL @3 USA @Z 3 aut.
A18 01  1    @1 Association for Literary and Linguistic Computing @3 EUR @9 patr.
A18 02  1    @1 Association for Computers and the Humanities @3 INT @9 patr.
A20       @1 11-28
A21       @1 1999
A23 01      @0 ENG
A43 01      @1 INIST @2 23967 @5 354000089139080020
A44       @0 0000 @1 © 1999 INIST-CNRS. All rights reserved.
A47 01  1    @0 524-99-13071
A60       @1 P @2 C
A61       @0 A
A64 01  1    @0 Literary and linguistic computing
A66 01      @0 GBR
A68 01  1  FRE  @1 Ré-industrialiser une machine de guerre : l'encyclopédie de ARTFL
A69 01  1  FRE  @1 La conférence ALLC-ACH'98
C01 01    ENG  @0 Current circumstances, specifically (i) competition from commercial developers and (ii) the need for compatibility between disparate data sources, suggest that it is crucially important to reconsider the ways in which the guidelines of the Text Encoding Initiative (TEI) are applied to computing projects in the humanities. Based on our work with Diderot and d'Alembert's Encyclopédie, we contend that, in many cases, light, automatically generated tagging is preferable to extensive manual mark-up. The massive size and complex textual structures of this work made it imperative to devise procedures that would eliminate the need for hand editing. Data capture for this project was limited to clear typographic conventions, using HTML conventions and simplified SGML-style tags. All identification of textual units (such as articles and cross-references) and textual attributes (such as authorship and subject headings) was then carried out automatically. The resulting hierarchical units (articles, words, paragraphs) can be queried in diverse ways using systems developed by the ARTFL Project. These systems provide full-text retrieval and full-text searching, either in the full text or in a sub-corpus defined by the user. The proven viability of these procedures leads us to assert that this model could be applied profitably to a much wider range of projects where cost-effectiveness and flexibility are desirable.
C02 01  L    @0 52478 @1 XV
C02 02  L    @0 524
C03 01  L  FRE  @0 Linguistique informatique @5 01
C03 01  L  ENG  @0 Computational linguistics @5 01
C03 02  L  FRE  @0 Informatique @5 02
C03 02  L  ENG  @0 Computer Science/Computer analysis/Computer science/Data Processing/Data processing @5 02
C03 03  L  FRE  @0 Traitement automatique des langues naturelles @5 03
C03 03  L  ENG  @0 Natural language processing @5 03
C03 04  L  FRE  @0 Analyse textuelle @5 04
C03 04  L  ENG  @0 Textual analysis @5 04
C03 05  L  FRE  @0 Méthodologie @5 05
C03 05  L  ENG  @0 Methodology @5 05
C03 06  L  FRE  @0 Modèle @5 06
C03 06  L  ENG  @0 Pattern @5 06
C03 07  L  FRE  @0 Encodage @4 INC @5 31
N21       @1 312
pR  
A30 01  1  ENG  @1 ALLC-ACH'98 Joint International Conference @3 Debrecen HUN @4 1998-07-05

Links toward previous steps (curation, corpus...)


Links to Exploration step

Francis:524-99-13071

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" level="a">Re-engineering a war-machine : ARTFL's encyclopédie</title>
<author>
<name sortKey="Andreev, L" sort="Andreev, L" uniqKey="Andreev L" first="L." last="Andreev">L. Andreev</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>Harvard University</s1>
<s2>Cambridge, MA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author>
<name sortKey="Iverson, J" sort="Iverson, J" uniqKey="Iverson J" first="J." last="Iverson">J. Iverson</name>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>University of Missouri-Columbia</s1>
<s2>Columbia, MO</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author>
<name sortKey="Olsen, M" sort="Olsen, M" uniqKey="Olsen M" first="M." last="Olsen">M. Olsen</name>
<affiliation wicri:level="1">
<inist:fA14 i1="03">
<s1>University of Chicago</s1>
<s2>Chicago, IL</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">INIST</idno>
<idno type="inist">524-99-13071</idno>
<date when="1999">1999</date>
<idno type="stanalyst">FRANCIS 524-99-13071 INIST</idno>
<idno type="RBID">Francis:524-99-13071</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000060</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000069</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a">Re-engineering a war-machine : ARTFL's encyclopédie</title>
<author>
<name sortKey="Andreev, L" sort="Andreev, L" uniqKey="Andreev L" first="L." last="Andreev">L. Andreev</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>Harvard University</s1>
<s2>Cambridge, MA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author>
<name sortKey="Iverson, J" sort="Iverson, J" uniqKey="Iverson J" first="J." last="Iverson">J. Iverson</name>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>University of Missouri-Columbia</s1>
<s2>Columbia, MO</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
<author>
<name sortKey="Olsen, M" sort="Olsen, M" uniqKey="Olsen M" first="M." last="Olsen">M. Olsen</name>
<affiliation wicri:level="1">
<inist:fA14 i1="03">
<s1>University of Chicago</s1>
<s2>Chicago, IL</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</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="1999">1999</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>Computational linguistics</term>
<term>Computer Science/Computer analysis/Computer science/Data Processing/Data processing</term>
<term>Methodology</term>
<term>Natural language processing</term>
<term>Pattern</term>
<term>Textual analysis</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Linguistique informatique</term>
<term>Informatique</term>
<term>Traitement automatique des langues naturelles</term>
<term>Analyse textuelle</term>
<term>Méthodologie</term>
<term>Modèle</term>
<term>Encodage</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Informatique</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Current circumstances, specifically (i) competition from commercial developers and (ii) the need for compatibility between disparate data sources, suggest that it is crucially important to reconsider the ways in which the guidelines of the Text Encoding Initiative (TEI) are applied to computing projects in the humanities. Based on our work with Diderot and d'Alembert's Encyclopédie, we contend that, in many cases, light, automatically generated tagging is preferable to extensive manual mark-up. The massive size and complex textual structures of this work made it imperative to devise procedures that would eliminate the need for hand editing. Data capture for this project was limited to clear typographic conventions, using HTML conventions and simplified SGML-style tags. All identification of textual units (such as articles and cross-references) and textual attributes (such as authorship and subject headings) was then carried out automatically. The resulting hierarchical units (articles, words, paragraphs) can be queried in diverse ways using systems developed by the ARTFL Project. These systems provide full-text retrieval and full-text searching, either in the full text or in a sub-corpus defined by the user. The proven viability of these procedures leads us to assert that this model could be applied profitably to a much wider range of projects where cost-effectiveness and flexibility are desirable.</div>
</front>
</TEI>
<inist>
<standard h6="B">
<pA>
<fA01 i1="01" i2="1">
<s0>0268-1145</s0>
</fA01>
<fA03 i2="1">
<s0>Lit. linguist. comput.</s0>
</fA03>
<fA05>
<s2>14</s2>
</fA05>
<fA06>
<s2>1</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG">
<s1>Re-engineering a war-machine : ARTFL's encyclopédie</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG">
<s1>The ALLC-ACH'98 Conference Issue</s1>
</fA09>
<fA11 i1="01" i2="1">
<s1>ANDREEV (L.)</s1>
</fA11>
<fA11 i1="02" i2="1">
<s1>IVERSON (J.)</s1>
</fA11>
<fA11 i1="03" i2="1">
<s1>OLSEN (M.)</s1>
</fA11>
<fA14 i1="01">
<s1>Harvard University</s1>
<s2>Cambridge, MA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="02">
<s1>University of Missouri-Columbia</s1>
<s2>Columbia, MO</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="03">
<s1>University of Chicago</s1>
<s2>Chicago, IL</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA18 i1="01" i2="1">
<s1>Association for Literary and Linguistic Computing</s1>
<s3>EUR</s3>
<s9>patr.</s9>
</fA18>
<fA18 i1="02" i2="1">
<s1>Association for Computers and the Humanities</s1>
<s3>INT</s3>
<s9>patr.</s9>
</fA18>
<fA20>
<s1>11-28</s1>
</fA20>
<fA21>
<s1>1999</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>23967</s2>
<s5>354000089139080020</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 1999 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA47 i1="01" i2="1">
<s0>524-99-13071</s0>
</fA47>
<fA60>
<s1>P</s1>
<s2>C</s2>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Literary and linguistic computing</s0>
</fA64>
<fA66 i1="01">
<s0>GBR</s0>
</fA66>
<fA68 i1="01" i2="1" l="FRE">
<s1>Ré-industrialiser une machine de guerre : l'encyclopédie de ARTFL</s1>
</fA68>
<fA69 i1="01" i2="1" l="FRE">
<s1>La conférence ALLC-ACH'98</s1>
</fA69>
<fC01 i1="01" l="ENG">
<s0>Current circumstances, specifically (i) competition from commercial developers and (ii) the need for compatibility between disparate data sources, suggest that it is crucially important to reconsider the ways in which the guidelines of the Text Encoding Initiative (TEI) are applied to computing projects in the humanities. Based on our work with Diderot and d'Alembert's Encyclopédie, we contend that, in many cases, light, automatically generated tagging is preferable to extensive manual mark-up. The massive size and complex textual structures of this work made it imperative to devise procedures that would eliminate the need for hand editing. Data capture for this project was limited to clear typographic conventions, using HTML conventions and simplified SGML-style tags. All identification of textual units (such as articles and cross-references) and textual attributes (such as authorship and subject headings) was then carried out automatically. The resulting hierarchical units (articles, words, paragraphs) can be queried in diverse ways using systems developed by the ARTFL Project. These systems provide full-text retrieval and full-text searching, either in the full text or in a sub-corpus defined by the user. The proven viability of these procedures leads us to assert that this model could be applied profitably to a much wider range of projects where cost-effectiveness and flexibility are desirable.</s0>
</fC01>
<fC02 i1="01" i2="L">
<s0>52478</s0>
<s1>XV</s1>
</fC02>
<fC02 i1="02" i2="L">
<s0>524</s0>
</fC02>
<fC03 i1="01" i2="L" l="FRE">
<s0>Linguistique informatique</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="L" l="ENG">
<s0>Computational linguistics</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="L" l="FRE">
<s0>Informatique</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="L" l="ENG">
<s0>Computer Science/Computer analysis/Computer science/Data Processing/Data processing</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="L" l="FRE">
<s0>Traitement automatique des langues naturelles</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="L" l="ENG">
<s0>Natural language processing</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="L" l="FRE">
<s0>Analyse textuelle</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="L" l="ENG">
<s0>Textual analysis</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="L" l="FRE">
<s0>Méthodologie</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="L" l="ENG">
<s0>Methodology</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="L" l="FRE">
<s0>Modèle</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="L" l="ENG">
<s0>Pattern</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="L" l="FRE">
<s0>Encodage</s0>
<s4>INC</s4>
<s5>31</s5>
</fC03>
<fN21>
<s1>312</s1>
</fN21>
</pA>
<pR>
<fA30 i1="01" i2="1" l="ENG">
<s1>ALLC-ACH'98 Joint International Conference</s1>
<s3>Debrecen HUN</s3>
<s4>1998-07-05</s4>
</fA30>
</pR>
</standard>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Ticri/explor/TeiVM2/Data/PascalFrancis/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000069 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 000069 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Ticri
   |area=    TeiVM2
   |flux=    PascalFrancis
   |étape=   Curation
   |type=    RBID
   |clé=     Francis:524-99-13071
   |texte=   Re-engineering a war-machine : ARTFL's encyclopédie
}}

Wicri

This area was generated with Dilib version V0.6.31.
Data generation: Mon Oct 30 21:59:18 2017. Site generation: Sun Feb 11 23:16:06 2024