Dictionary users do look up frequent and socially relevant words. Two log file analyses
- 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.
Author: | Sascha WolferORCiDGND, Alexander KoplenigORCiDGND, Peter MeyerORCiDGND, Carolin Müller-SpitzerORCiDGND |
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URN: | urn:nbn:de:bsz:mh39-31125 |
URL: | https://euralex.org/wp-content/themes/euralex/proceedings/Euralex%202014/euralex_2014_019_p_281.pdf |
Parent Title (English): | Proceedings of the XVI Euralex International Congress, Bolzano/Bozen, 15.-19.07.2014 |
Publisher: | Institute for Specialised Communication and Multilingualism |
Place of publication: | Bozen |
Document Type: | Conference Proceeding |
Language: | English |
Year of first Publication: | 2014 |
Date of Publication (online): | 2014/10/09 |
Tag: | corpus; log file analysis; research into dictionary use; social relevance |
GND Keyword: | Korpus <Linguistik>; Nutzer; Worthäufigkeit; Wörterbuch |
First Page: | 281 |
Last Page: | 290 |
DDC classes: | 400 Sprache / 430 Deutsch |
Open Access?: | ja |
Leibniz-Classification: | Sprache, Linguistik |
Linguistics-Classification: | Korpuslinguistik |
Linguistics-Classification: | Lexikografie |
Licence (German): | ![]() |