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Encoding verse texts

Identifieur interne : 000084 ( PascalFrancis/Corpus ); précédent : 000083; suivant : 000085

Encoding verse texts

Auteurs : D. Chisholm ; D. Robey

Source :

RBID : Pascal:97-0021552

Descripteurs français

English descriptors

Abstract

This articles identifies problems and proposes solutions for encoding verse texts in SGML. It is organized around a series of distinctions and oppositions which the TEI Work Group on Verse regard as insignificant. These include examination of the formal properties which distinguish verse from prose, followed by discussions of (1) text-searching vs analysis, (2) markup vs algorithms, (3) markup vs transcription, (4) uniformity vs choice, (5) specificity vs generality, (6) metrical convention vs linguistic realization, (7) structural vs non-structural divisions and (8) fidelity vs interpretation. Using German and English verse forms as illustrations, the advantages and disadvantages of pre-line tagging, in-line tagging and feature structure analysis are discussed. We suggest that metrical and rhyme conventions always be tagged at the highest possible level of text divisions

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 0010-4817
A02 01      @0 COHUAD
A03   1    @0 Comput. humanit.
A05       @2 29
A06       @2 2
A08 01  1  ENG  @1 Encoding verse texts
A09 01  1  ENG  @1 The text encoding initiative : background and context. III: Encoding specific text types
A11 01  1    @1 CHISHOLM (D.)
A11 02  1    @1 ROBEY (D.)
A12 01  1    @1 IDE (Nancy) @9 ed.
A12 02  1    @1 VERONIS (Jean) @9 ed.
A14 01      @1 Univ. Arizona, dep. German studies @2 Tucson AZ 85721 @3 USA
A15 01      @1 Vassar coll., dep. computer sci. @2 Poughkeepsie NY 12601 @3 USA @Z 1 aut.
A15 02      @1 CNRS Univ. Provence, lab. parole langage @2 13621 Aix-en-Provence @3 FRA @Z 2 aut.
A20       @1 99-111
A21       @1 1995
A23 01      @0 ENG
A43 01      @1 INIST @2 14902 @5 354000050222650010
A44       @0 0000 @1 © 1997 INIST-CNRS. All rights reserved.
A45       @0 3 ref.
A47 01  1    @0 97-0021552
A60       @1 P
A61       @0 A
A64 01  1    @0 Computers and the humanities
A66 01      @0 USA
C01 01    ENG  @0 This articles identifies problems and proposes solutions for encoding verse texts in SGML. It is organized around a series of distinctions and oppositions which the TEI Work Group on Verse regard as insignificant. These include examination of the formal properties which distinguish verse from prose, followed by discussions of (1) text-searching vs analysis, (2) markup vs algorithms, (3) markup vs transcription, (4) uniformity vs choice, (5) specificity vs generality, (6) metrical convention vs linguistic realization, (7) structural vs non-structural divisions and (8) fidelity vs interpretation. Using German and English verse forms as illustrations, the advantages and disadvantages of pre-line tagging, in-line tagging and feature structure analysis are discussed. We suggest that metrical and rhyme conventions always be tagged at the highest possible level of text divisions
C02 01  X    @0 001A01E02B
C02 02  X    @0 205
C03 01  X  FRE  @0 Poésie @5 04
C03 01  X  ENG  @0 Poetry @5 04
C03 01  X  SPA  @0 Poesía @5 04
C03 02  X  FRE  @0 Texte @5 05
C03 02  X  ENG  @0 Text @5 05
C03 02  X  SPA  @0 Texto @5 05
C03 03  X  FRE  @0 Codage @5 06
C03 03  X  ENG  @0 Coding @5 06
C03 03  X  SPA  @0 Codificación @5 06
C03 04  X  FRE  @0 Edition électronique @5 07
C03 04  X  ENG  @0 Electronic publishing @5 07
C03 04  X  SPA  @0 Edición electrónica @5 07
C03 05  X  FRE  @0 Marquage @5 08
C03 05  X  ENG  @0 Tagging @5 08
C03 05  X  GER  @0 Markieren @5 08
C03 05  X  SPA  @0 Marcación @5 08
C03 06  X  FRE  @0 TEI (Text Encoding Initiative) @4 INC @5 27
C03 07  X  FRE  @0 Versification @4 CD @5 97
C03 07  X  ENG  @0 Versification @4 CD @5 97
C03 08  X  FRE  @0 Norme SGML @4 CD @5 98
C03 08  X  ENG  @0 SGML standard @4 CD @5 98
N21       @1 006

Format Inist (serveur)

NO : PASCAL 97-0021552 INIST
ET : Encoding verse texts
AU : CHISHOLM (D.); ROBEY (D.); IDE (Nancy); VERONIS (Jean)
AF : Univ. Arizona, dep. German studies/Tucson AZ 85721/Etats-Unis; Vassar coll., dep. computer sci./Poughkeepsie NY 12601/Etats-Unis (1 aut.); CNRS Univ. Provence, lab. parole langage/13621 Aix-en-Provence/France (2 aut.)
DT : Publication en série; Niveau analytique
SO : Computers and the humanities; ISSN 0010-4817; Coden COHUAD; Etats-Unis; Da. 1995; Vol. 29; No. 2; Pp. 99-111; Bibl. 3 ref.
LA : Anglais
EA : This articles identifies problems and proposes solutions for encoding verse texts in SGML. It is organized around a series of distinctions and oppositions which the TEI Work Group on Verse regard as insignificant. These include examination of the formal properties which distinguish verse from prose, followed by discussions of (1) text-searching vs analysis, (2) markup vs algorithms, (3) markup vs transcription, (4) uniformity vs choice, (5) specificity vs generality, (6) metrical convention vs linguistic realization, (7) structural vs non-structural divisions and (8) fidelity vs interpretation. Using German and English verse forms as illustrations, the advantages and disadvantages of pre-line tagging, in-line tagging and feature structure analysis are discussed. We suggest that metrical and rhyme conventions always be tagged at the highest possible level of text divisions
CC : 001A01E02B; 205
FD : Poésie; Texte; Codage; Edition électronique; Marquage; TEI (Text Encoding Initiative); Versification; Norme SGML
ED : Poetry; Text; Coding; Electronic publishing; Tagging; Versification; SGML standard
GD : Markieren
SD : Poesía; Texto; Codificación; Edición electrónica; Marcación
LO : INIST-14902.354000050222650010
ID : 97-0021552

Links to Exploration step

Pascal:97-0021552

Le document en format XML

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