Refine
Year of publication
- 2014 (9) (remove)
Document Type
- Part of a Book (4)
- Conference Proceeding (3)
- Book (2)
Has Fulltext
- yes (9)
Is part of the Bibliography
- yes (9) (remove)
Keywords
- Wörterbuch (9) (remove)
Publicationstate
Reviewstate
Publisher
In diesem Wörterbuch finden sich von App bis Zickenalarm mehr als 570 Stichwörter, die die aktuelle Wortschatzerweiterung im Deutschen als Ausdruck der Anpassung des Wortschatzes an neue Gegebenheiten und Sachverhalte spiegeln. Erfasst und in umfangreichen Wortartikeln beschrieben und dokumentiert sind die Neulexeme und Neubedeutungen, die im Zeitraum von 2001 bis 2010 aufgekommen sind und sich weitgehend im allgemeinsprachlichen Teil des Wortschatzes der deutschen Standardsprache etabliert haben.
In diesem Wörterbuch finden sich von App bis Zickenalarm mehr als 570 Stichwörter, die die aktuelle Wortschatzerweiterung im Deutschen als Ausdruck der Anpassung des Wortschatzes an neue Gegebenheiten und Sachverhalte spiegeln. Erfasst und in umfangreichen Wortartikeln beschrieben und dokumentiert sind die Neulexeme und Neubedeutungen, die im Zeitraum von 2001 bis 2010 aufgekommen sind und sich weitgehend im allgemeinsprachlichen Teil des Wortschatzes der deutschen Standardsprache etabliert haben.
This contribution presents the procedure used in the Handbuch deutscher Kommunikationsverben and in its online version Kommunikationsverben in the lexicographical internet portal OWID to divide sets of semantically similar communication verbs into ever smaller sets of ever closer synonyms. Kommunikationsverben describes the meaning of communication verbs on two levels: a lexical level, represented in the dictionary entries and by sets of lexical features, and a conceptual level, represented by different types of situations referred to by specific types of verbs. The procedure starts at the conceptual level of meaning where verbs used to refer to the same specific situation type are grouped together. At the lexical level of meaning, the sets of verbs obtained from the first step are successively divided into smaller sets on the basis of the criteria of (i) identity of lexical meaning, (ii) identity of lexical features, and (iii) identity of contexts of usage. The stepwise procedure applied is shown to result in the creation of a semantic network for communication verbs.
We start by trying to answer a question that has already been asked by de Schryver et al. (2006): Do dictionary users (frequently) look up words that are frequent in a corpus. Contrary to their results, our results that are based on the analysis of log files from two different online dictionaries indicate that users indeed look up frequent words frequently. When combining frequency information from the Mannheim German Reference Corpus and information about the number of visits in the Digital Dictionary of the German Language as well as the German language edition of Wiktionary, a clear connection between corpus and look-up frequencies can be observed. In a follow-up study, we show that another important factor for the look-up frequency of a word is its temporal social relevance. To make this effect visible, we propose a de-trending method where we control both frequency effects and overall look-up trends.
The first international study (N=684) we conducted within our research project on online dictionary use included very general questions on that topic. In this chapter, we present the corresponding results on questions like the use of both printed and online dictionaries as well as on the types of dictionaries used, devices used to access online dictionaries and some information regarding the willingness to pay for premium content. The data collected by us, show that our respondents both use printed and online dictionaries and, according to their self-report, many different kinds of dictionaries. In this context, our results revealed some clear cultural differences: in German-speaking areas spelling dictionaries are more common than in other linguistic areas, where thesauruses are widespread. Only a minority of our respondents is willing to pay for premium content, but most of the respondents are prepared to accept advertising. Our results also demonstrate that our respondents mainly tend to use dictionaries on big-screen devices, e.g. desktop computers or laptops.