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Markup systems and the future of scholarly text processing

Published:01 November 1987Publication History
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Abstract

Markup practices can affect the move toward systems that support scholars in the process of thinking and writing. Whereas procedural and presentational markup systems retard that movement, descriptive markup systems accelerate the pace by simplifying mechanical tasks and allowing the authors to focus their attention on the content.

References

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  1. Markup systems and the future of scholarly text processing

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                Christopher L. Hallgren

                This paper considers the academic text in relation to text processing. In some ways, the view of the authors strikes a pose promised in the myth of truly portable generalized markup languages that loomed on the horizon in the 1960s. They repeat their case for descriptive markup over and over, as academic reseach and writing finds its way into several papers, publications, and venues, all with different formats. Descriptive markup defines the parts of a document, regardless of how they are to be handled in terms of spacing, arrangement, punctuation, or typography. The problem with a descriptive markup language is that it is tied to a compiler that can read the descriptive tokens in the text and perform the necessary processing. If the document if used only on the author's computer, this poses no difficulty; if it is shared in machine-readable format, this leads to a lot of fussing with programs to get the document to come out correctly. From their particular vantage point, the authors perform a wide survey of the methods used to prepare and format text documents. They correctly identify problems of maintainability and portability in several of the more primitive (simple punctuation tokens or commands) as well as sophisticated (desktop publishing format profiles) text-processing systems. Huge documents can require weeks of re-marking when a simple change in interpreters or systems takes place. Also, within the context of specialized text requirements such as formal dissertations or academic documents, descriptive tokens do have some advantages for handling the picayune differences between document parts in different contexts. However, the authors neglect several aspects of the wide field of text processing, to the advantage of their argument. Most systems (Microsoft Word being one) have a page preview function, so that simple text changes can be previewed on the screen without binding the user to the change. Also, desktop publishing has greatly enhanced the ease with which an author can change fonts, styles, and other aspects of a document. Some of the more sophisticated systems, such as Interleaf, can employ a token system to define parts of a document and dynamically control styles in real time using the same system (WYSIWYG). Any markup language that is not WYSIWYG must lead two lives—marked up source and formatted output. The interaction between these two is often laborious, not to mention wasteful, in terms of memory or print drafts. The paper's strong points are a good summary of academic text requirements and a summary of the less sophisticated mainframe methods of creating publishable text copy. The authors also supply a good history of text processing methods up to the mid-1970s.

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                • Published in

                  cover image Communications of the ACM
                  Communications of the ACM  Volume 30, Issue 11
                  Nov. 1987
                  87 pages
                  ISSN:0001-0782
                  EISSN:1557-7317
                  DOI:10.1145/32206
                  Issue’s Table of Contents

                  Copyright © 1987 ACM

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                  Publication History

                  • Published: 1 November 1987

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