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We present an empirical study addressing the question whether, and to which extent, lexicographic writing aids improve text revision results. German university students were asked to optimise two German texts using (1) no aids at all, (2) highlighted problems, or (3) highlighted problems accompanied by lexicographic resources that could be used to solve the specific problems. We found that participants from the third group corrected the largest number of problems and introduced the fewest semantic distortions during revision. Also, they reached the highest overall score and were most efficient (as measured in points per time). The second group with highlighted problems lies between the two other groups in almost every measure we analysed. We discuss these findings in the scope of intelligent writing environments, the effectiveness of writing aids in practical usage situations and teaching dictionary skills.
Lexicographic data are normally linked with each other in a complex manner. Especially, within the electronic lexicographic context, the following issues are addressed: How to encode these cross-reference structures so that both the lexicographers‘ editorial work with the linking-up is easy to handle and the options of the presentation are adequately flexible. The objective of this paper is to elucidate the presentation of an XML-modelling of cross-reference structures as part of a complete modelling concept. Thereby, the modelling potential of the XML-connected standard XLink and a new lexicographic concept will be brought together with cross-project guidelines for the modelling of link-structures.