Abstract
The paper describes an approach that converts the structure of sequential text types – text books, scientific papers – into hypertext networks. Using XML as the technical basis, the approach implements sets of rules which automatically generate hypertext views as additional layers while preserving the original sequence and content of the sequential documents. These rules process information of mark-up at different annotation layers: the document structure layer, the terms and definitions layer, the thematic structure layer and the cohesion layer. In addition, the semantics of technical terms in these domains are represented in a WordNet-style semantic network. This lexical representation is used to link technical terms with their definitions and for generating a glossary that is linked to the terms in the corpus documents. Feasability and performance of the approach was evaluated using a German corpus with documents from the domains of text technology and hypertext research. This paper concentrates on the conversion methodology and its linguistic background; the related paper by Lenz (in this volume) focuses on implementation issues and presents a specialized hypertext transformation language that she has developed in this framework.
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Storrer, A. (2010). Mark-up Driven Strategies for Text-to-Hypertext Conversion. In: Witt, A., Metzing, D. (eds) Linguistic Modeling of Information and Markup Languages. Text, Speech and Language Technology, vol 41. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3331-4_11
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