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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.
Das Online-Wortschatz-Informationssystem Deutsch (OWID) ist ein digitales Wörterbuchportal des Instituts für Deutsche Sprache. Alle darin zusammengeführten lexikografischen Daten sind auf XML-Basis feingranular strukturiert. Speicherung, Verwaltung und Retrieval dieser Daten übernimmt das Orade-basierte Electronic Dictionary Administration System (EDAS). Der vorliegende Beitrag erläutert die XML-basierte Modellierung der Daten, XML-spezifische Fragen der Speicherung, sowie das Retrieval mit XPath und SQL/XML.
Wiktionary is increasingly gaining influence in a wide variety of linguistic fields such as NLP and lexicography, and has great potential to become a serious competitor for publisher-based and academic dictionaries. However, little is known about the "crowd" that is responsible for the content of Wiktionary. In this article, we want to shed some light on selected questions concerning large-scale cooperative work in online dictionaries. To this end, we use quantitative analyses of the complete edit history files of the English and German Wiktionary language editions. Concerning the distribution of revisions over users, we show that — compared to the overall user base — only very few authors are responsible for the vast majority of revisions in the two Wiktionary editions. In the next step, we compare this distribution to the distribution of revisions over all the articles. The articles are subsequently analysed in terms of rigour and diversity, typical revision patterns through time, and novelty (the time since the last revision). We close with an examination of the relationship between corpus frequencies of headwords in articles, the number of article visits, and the number of revisions made to articles.
In this contribution, we present a novel approach for the analysis of cross-reference structures in digital dictionaries on the basis of the complete dictionary database. Using paradigmatic items in the German Wiktionary as an example, we show how analyses based on graph theory can be fruitfully applied in this context, e. g. to gain an overview of paradigmatic references as a whole or to detect closely connected groups of headwords. Furthermore, we connect information about cross-reference structures with corpus frequencies and log file statistics. In this way, we can answer questions such as the following ones: Are frequent words paradigmatically linked more closely than others? Are closely linked headwords or headwords that stand more solitary in the dictionary visited significantly more often?
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.
We present studies using the 2013 log files from the German version of Wiktionary. We investigate several lexicographically relevant variables and their effect on look-up frequency: Corpus frequency of the headword seems to have a strong effect on the number of visits to a Wiktionary entry. We then consider the question of whether polysemic words are looked up more often than monosemic ones. Here, we also have to take into account that polysemic words are more frequent in most languages. Finally, we present a technique to investigate the time-course of look-up behaviour for specific entries. We exemplify the method by investigating influences of (temporary) social relevance of specific headwords.
The methods utilized in the area of research into dictionary use are established research methods in the social sciences. After explicating the different steps of a typical empirical investigation, this article provides examples of how these different methods are used in various user studies conducted in the field of using online dictionaries. Thereby, different kinds of data collection (surveys as online questionnaires, log files and eye tracking) as well as different research design structures (for instance, ex-post-facto design or experimental design) are discussed.