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2017
DOI: 10.1515/zgl-2017-0017
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Die Korpusplattform des „Digitalen Wörterbuchs der deutschen Sprache“ (DWDS)

Abstract: International audienceDie Kernaufgabe der Projektgruppe des DWDS besteht darin, den in den Korpora enthaltenen Wortschatz lexikographisch und korpusbasiert zu beschreiben. Es erschien uns aber von Beginn des Projekts an sinnvoll, die Daten, die die Basis dieser lexikographischen Arbeiten bilden, auch allgemein der empirischen linguistischen Forschung zum Deutschen in Geschichte und Gegenwart zur Verfügung zu stellen. Durch den Zugriff auf die durch rechtliche Vereinbarungen geklärten Teile der Wörterbuchbasis … Show more

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Cited by 25 publications
(9 citation statements)
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“…They possess a metaphoric potential since they allow to structure language according to bodily experience and, thus, link direct experience and abstract concepts. 2 DWDS is the publically funded Digital Dictionary of German Language, hosting corpora and information retrieval tools for analysing contemporary German (Geyken et al, 2017). Explorative analysis made use of any data from 2020 as offered in the web interface of DWDS.…”
Section: Data Availabilitymentioning
confidence: 99%
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“…They possess a metaphoric potential since they allow to structure language according to bodily experience and, thus, link direct experience and abstract concepts. 2 DWDS is the publically funded Digital Dictionary of German Language, hosting corpora and information retrieval tools for analysing contemporary German (Geyken et al, 2017). Explorative analysis made use of any data from 2020 as offered in the web interface of DWDS.…”
Section: Data Availabilitymentioning
confidence: 99%
“…4 In fact, Bielefeld is situated in the German federal state of Nordrhein-Westfalen. 5 Technically, we rely on Qi et al (2020) and Bird et al (2009), used in a Python framework 6 Geyken et al (2017) 7 According to the version of that day retrieved from https://github.com/adbar/ coronakorpus.…”
Section: Data Availabilitymentioning
confidence: 99%
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“…This effort is part of methods to derive information from web documents in order to build text databases for a lexicographic information platform (Geyken et al, 2017). Extracting and preprocessing web texts to the exacting standards of scientific research turned out to be a substantial challenge where existing open-source solutions were not entirely convincing in terms of accuracy, versatility, and ease of use.…”
Section: Research Contextmentioning
confidence: 99%
“…Text extraction focuses on the central part of the texts (e.g., without navigation or footer information), comments (potential user-generated content listed at the bottom of an article), and metadata (at least title, date, and URL and possibly author, tags, categories, and summary). The documents are then stored as XML and processed by a platform for lexicographic corpus research (Geyken et al 2017).…”
mentioning
confidence: 99%