Text-image Coupling for Editing Literary Sources.

Users need more sophisticated tools to handle the growing number of image-based documents available in databases. In this paper, we present a system devoted to the editing and browsing of complex literary hypermedia including original manuscript documents and other handwritten sources. Editing capab...

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Publicado en:Computers & the Humanities Vol. 36; no. 1; pp. 49 - 74
Autores principales: Lecolinet, Eric, Robert, Laurent, Role, François
Formato: Artículo
Publicado: Springer Nature Feb2002
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Lecolinet, Eric
          Robert, Laurent
          Role, François
        affil:
          Ecole Nationale Supérieure des Télécommunications & CNRS URA 820, 46 rue Barrault, 75013 Paris, France E-mail:
          Ecole Nationale Supérieure des Télécommunications & CNRS URA 820, 46 rue Barrault, 75013 Paris, France
          Université Paris X & INRIA (ATOLL project) E-mail:
      su:
        Document markup languages
        Hypertext systems
        Websites
        Visual perception
        Imagination
        XML (Extensible Markup Language)
        Manuscripts
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        subj:
          Document markup languages
          Hypertext systems
          Websites
          Visual perception
          Imagination
          XML (Extensible Markup Language)
          Manuscripts
      keyword:
        browsing and navigation in large hypermedia
        image-based humanities computing
        TEI
        text encoding and rendering
        text/image coupling
        transcription/editing tools
        XML
      ab: Users need more sophisticated tools to handle the growing number of image-based documents available in databases. In this paper, we present a system devoted to the editing and browsing of complex literary hypermedia including original manuscript documents and other handwritten sources. Editing capabilities allow the user to transcribe manuscript images in an interactive way and to encode the resulting textual representation by means of a logical markup language (based on the XML/TEI specification). Both representations (image and structured text) are tightly linked to facilitate the reading and the interpretation of documents. This text/image coupling scheme is an attempt to unify several layers of information in order to provide the user with a global vision of the work. Our system also supplies tools capable of processing and relating information stored both in images and structured texts. Finally, application-specific visualization techniques have been developed in order to provide users with a way to identify relationships between source documents and help them to navigate.
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    language: English
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