Corpus Encoding Standard - Document CES 1. Title page. Version 1.4. Last modified 14 October 1996.


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  Corpus Encoding Standard

  Nancy Ide, Coordinator





Abstract

This document is the first version of the Corpus Encoding Standard (CES). The CES has been designed to be optimally suited for use in language engineering research and applications, in order to serve as a widely accepted set of encoding standards for corpus-based work in natural language processing applications. The CES is an application of SGML (ISO 8879:1986, Information Processing--Text and Office Systems--Standard Generalized Markup Language) compliant with the specifications of the TEI Guidelines for Electronic Text Encoding and Interchange of the Text Encoding Initiative.

The CES specifies a minimal encoding level that corpora must achieve to be considered standardized in terms of descriptive representation (marking of structural and typographic information) as well as general architecture (so as to be maximally suited for use in a text database). It also provides encoding specifications for linguistic annotation, together with a data architecture for linguistic corpora.

The CES is being developed in a bottom up fashion, starting with minimal specifications and expanding based upon feedback resulting from its use, and the input of the research community in general. We invite and encourage all comments and discussion of any aspect of the CES.


Contents


Acknowledgements

This document results from joint effort of the European projects EAGLES (in particular, the EAGLES Text Representation subgroup), MULTEXT (LRE), and MULTEXT-EAST (Copernicus), together with the Vassar/CNRS collaboration supported by the U.S. National Science Foundation. The Centre National de la Recherche Scientifique (CNRS) has also supported the integration effort.



Primary authors and contributors

Nancy Ide
Department of Computer Science
Vassar College
Poughkeepsie, New York 12601 USA
tel : (+1) 914 437 5988
fax : (+1) 914 437 7498
e-mail : ide@cs.vassar.edu

Laboratoire Parole et Langage
CNRS & Université de Provence
29, Avenue Robert Schuman, 13621 Aix-en-Provence Cedex 1, France
tel : (+33) 42 95 36 34
fax : (+33) 42 59 50 96
e-mail: ide@univ-aix.fr

Greg Priest-Dorman
Department of Computer Science
Vassar College
Poughkeepsie, New York 12601 USA
tel : (+1) 914 437 5990
fax : (+1) 914 437 7498
e-mail : priestdo@cs.vassar.edu

Jean Véronis
Laboratoire Parole et Langage
CNRS & Université de Provence
29, Avenue Robert Schuman, 13621 Aix-en-Provence Cedex 1, France
tel : (+33) 42 95 36 34
fax : (+33) 42 59 50 96
e-mail: veronis@univ-aix.fr


Other contributors

Lou Burnard, Oxford University Computing Service, Oxford, England
Dominic Dunlop, British National Corpus, Oxford, England
Ole Norling-Christensen, University of Copenhagen, Denmark
Eva Ejerhed, University of Umeå, Sweden
Tomaz Erjavec, Jozef Stefan Institute, Ljubljana, Slovenia
Hans van Halteren, University of Nijmegen, The Netherlands
Geoffrey Leech, University of Lancaster, England
Ole Norling-Christensen, The Society for Danish Language and Literature, Denmark
Daniel Ridings, University of Göteborg, Sweden
Laurent Romary, Centre de Recherche en Informatique de Nancy, France
John Sinclair, University of Birmingham, England
Henry Thompson, University of Edinburgh, Scotland

Please report suggestions or problems to priestdo@cs.vassar.edu.
This document is also available as a Tar file (approx. 200k, tar.gz format)


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