Text Encoding Initiative

1. Front Matter

   Pages i-1

   PDF

2. Introduction

   1. Introduction

      • Nancy Ide, Jean Véronis

      Pages 3-4

3. General Topics

   1. The TEI: History, Goals, and Future

      • Nancy M. Ide, C. M. Sperberg-McQueen

      Pages 5-15

   2. The Design of the TEI Encoding Scheme

      • C. M. Sperberg-McQueen, Lou Burnard

      Pages 17-39

   3. What Is SGML and How Does It Help?

      • Lou Burnard

      Pages 41-50

4. Document-Wide Encoding Issues

   1. Character Representation

      • Harry E. Gaylord

      Pages 51-73

   2. The TEI Header and the Documentation of Electronic Texts

      • Richard Giordano

      Pages 75-84

   3. Practical Considerations in the Use of TEI Headers in a Large Corpus

      • Dominic Dunlop

      Pages 85-98

5. Encoding Specific Text Types

   1. Front Matter

      Pages N1-N1

      PDF

   2. Encoding Verse Texts

      • David Chisholm, David Robey

      Pages 99-111

   3. The Show Must Go on: Problems of Tagging Performance Texts

      • John Lavagnino, Elli Mylonas

      Pages 113-121

   4. Encoding Textual Criticism

      • Robin C. Cover, Peter M. W. Robinson

      Pages 123-136

   5. Speaking with One Voice: Encoding Standards and the Prospects for an Integrated Approach to Computing in History

      • Daniel Greenstein, Lou Burnard

      Pages 137-148

   6. The Encoding of Spoken Texts

      • Stig Johansson

      Pages 149-158

   7. E-Tif: An Electronic Terminology Interchange Format

      • Alan Melby

      Pages 159-165

   8. Encoding Dictionaries

      • Nancy Ide, Jean Véronis

      Pages 167-179

6. Special Encoding Mechanisms

   1. The TEI Hypertext Guidelines

      • Steven J. DeRose, David G. Durand

      Pages 181-190

   2. A Rationale for the TEI Recommendations for Feature-Structure Markup

      • D. Terence Langendoen, Gary F. Simons

      Pages 191-209

   3. Hierarchical Encoding of Text: Technical Problems and SGML Solutions

      • David T. Barnard, Lou Burnard, Jean-Pierre Gaspart, Lynne A. Price, C. M. Sperberg-McQueen, Giovanni Battista Varile

      Pages 211-231

   4. SGML/TEI Bibliography

      • Robin C. Cover

      Pages 233-240

Charles F. Goldfarb Saratoga. California If asked for a sure recipe for chaos I would propose a I am delighted that my invention, the Standard project in which several thousand impassioned special­ Generalized Markup Language, was able to play a ists in scores of disciplines from a dozen or more role in the TEl's magnificent accomplishment, particu­ countries would be given five years to produce some larly because almost all of the original applications 1300 pages of guidelines for representing the informa­ of SGML were in the commercial and technological tion models of their specialties in a rigorous, machine­ realms. It is reasonable, of course, that organiza­ verifiable notation. Clearly, it would be sociologically tions with massive economic investments in new and and technologically impossible for such a group even changing information should want the benefits of infor­ to agree on the subject matter of such guidelines, let mation asset preservation and reuse that SGML offers. alone the coding details. But just as clearly as the It is gratifying that the TEl, representing the guardians bumblebee flies despite the laws of aerodynamics, the of humanity's oldest and most truly valuable informa­ Text Encoding Initiative has actually succeeded in such tion, chose SGML for those same benefits. an effort. The vaunted "information superhighway" would The TEl Guidelines are extraordinary.

• Header
• Hypertext
• SGML
• design
• performance
• literary diction

`I recommend this book highly. It succeeds both in serving as an informative and readable introductin to the TEI and in addressing many more technical and detailed topics that will appeal to potential TEI users from many different fields. The references and bibliographies are of the highest academic quality. The chapters are well written, edited and proofread.'
Natural Language Engineering, 4:2 (1998)

• Department of Computer Science, Vassar College, Poughkeepsie, USA

  Nancy Ide

• Laboratoire Parole et Langage, CNRS & Université de Provence, Aix-en-Provence, France

  Jean Véronis

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