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In this article, we provide an insight into the development and application of a corpus-lexicographic tool for finding neologisms that are not yet listed in German dictionaries. As a starting point, we used the words listed in a glossary of German neologisms surrounding the COVID-19 pandemic. These words are lemma candidates for a new dictionary on COVID-19 discourse in German. They also provided the database used to develop and test the NeoRate tool. We report on the lexicographic work in our dictionary project, the design and functionalities of NeoRate, and describe the first test results with the tool, in particular with regard to previously unregistered words. Finally, we discuss further development of the tool and its possible applications.
Dieser Werkstattbericht zeigt anhand verschiedener korpusbasierter Ressourcen, wie Fragen zu sprachlichen Phänomenen, die für Sprachlernende nicht oder nur unzureichend dokumentiert sind, empirisch beantwortet werden können. Besonderes Augenmerk wird dabei auf OWIDplusLIVE gelegt. Hierbei handelt es sich um ein Werkzeug zur tagesaktuellen Analyse von Token (einzelne Wortformen/Lemmata) und Bi-/Trigrammen (zwei bzw. drei direkt aufeinander folgende Token). Über eine Anbindung an KorAP können zudem Belege aus dem DeReKo (Deutsches Referenzkorpus) abgerufen und analysiert werden.
Dictionaries are often a reflection of their time; their respective (socio-)historical context influences how the meaning of certain lexical units is described. This also applies to descriptions of personal terms such as man or woman. Lexicographers have a special responsibility to comprehensively investigate current language use before describing it in the dictionary. Accordingly, contemporary academic dictionaries are usually corpus-based. However, it is important to acknowledge that language is always embedded in cultural contexts. Our case study investigates differences in the linguistic contexts of the use of man and woman, drawing from a range of language collections (in our case fiction books, popular magazines and newspapers). We explain how potential differences in corpus construction would therefore influence the “reality” depicted in the dictionary. In doing so, we address the far-reaching consequences that the choice of corpus-linguistic basis for an empirical dictionary has on semantic descriptions in dictionary entries.Furthermore, we situate the case study within the context of gender-linguistic issues and discuss how lexicographic teams can engage with how dictionaries might perpetuate traditional role concepts when describing language use.
Recent years have seen a growing interest in linguistic phenomena that challenge the received division of labour between lexicon and grammar, and hence often fall through the cracks of traditional dictionaries and grammars. Such phenomena call for novel, pattern based types of linguistic reference works (see various papers in Herbst 2019). The present paper introduces one such resource: MAP (“Musterbank argumentmarkierender Präpositionen”), a web based corpus linguistic patternbank of prepositional argument structure constructions in German. The paper gives an overview of the design and functionality of the MAP prototype currently developed at the Leibniz Institute for the German Language in Mannheim. We give a brief account of the data and our analytic workflow, illustrate the descriptions that make up the resource and sketch available options for querying it for specific lexical, semantic and structural properties of the data.
Recent years have seen a growing interest in linguistic phenomena that challenge the received division of labour between lexicon and grammar, and hence often fall through the cracks of traditional dictionaries and grammars. Such phenomena call for novel, pattern-based types of linguistic reference works (see various papers in Herbst 2019). The present paper introduces one such resource: MAP (“Musterbank argumentmarkierender Präpositionen”), a web-based corpus-linguistic patternbank of prepositional argument structure constructions in German. The paper gives an overview of the design and functionality of the MAP-prototype currently developed at the Leibniz-Institute for the German Language in Mannheim. We give a brief account of the data and our analytic workflow, illustrate the descriptions that make up the resource and sketch available options for querying it for specific lexical, semantic and structural properties of the data.
Dictionaries are often a reflection of their time; their respective (socio-)historical context influences how the meaning of certain lexical units is described. This also applies to descriptions of personal terms such as man or woman. Lexicographers have a special responsibility to comprehensively investigate current language use before describing it in the dictionary. Accordingly, contemporary academic dictionaries are usually corpus-based. However, it is important to acknowledge that language is always embedded in cultural contexts. Our case study investigates differences in the linguistic contexts of the use of man and woman, drawing from a range of language collections (in our case fiction books, popular magazines and newspapers). We explain how potential differences in corpus construction would therefore influence the “reality”1 depicted in the dictionary. In doing so, we address the far-reaching consequences that the choice of corpus-linguistic basis for an empirical dictionary has on semantic descriptions in dictionary entries.
Furthermore, we situate the case study within the context of gender-linguistic issues and discuss how lexicographic teams can engage with how dictionaries might perpetuate traditional role concepts when describing language use.
Die Idee hinter dem Projekt – einen schnellen und einfachen Einstieg in die Analyse großer Korpusdaten mittels CorpusExplorer geben. Diese frei verfügbare Software bietet aktuell über 45 Analysen/Visualisierungen für vielfältige korpuslinguistische Zwecke und ist durch ihre Nutzerfreundlichkeit auch für den Einsatz in der universitären Lehre geeignet. Als Beispiel dient das EuroParl-Korpus, man kann aber auch eigenes Textmaterial (z. B. Textdateien, eBooks, Xml, Twitter, Blogs, etc.) mit dem CorpusExplorer annotieren, analysieren und visualisieren. Die Videos zeigen Schritt-für-Schritt die einzelnen Funktionen.
Überspannt werden die Videos von einer kleinen zweistufigen Aufgabe: Zuerst sollten ein paar Fragen/Thesen/Annahmen überlegt werden, die sich mit den Plenarprotokollen des EuroParl auswerten lassen – einige Videos geben auch explizite Anregungen oder man nutzt die Inspiration der anderen Beiträge im Issue #3. Die einfachsten Fragen/Thesen lassen sich bereits mit den hier vorgestellten Videos beantworten. Sobald es komplexer wird, betritt man den zweiten – reflexiven Teil der überspannenden Aufgabe: Es ist zu überlegen, wie durch (mehrfache) Kombination der einzelnen Video-/Wissensbausteine das Ziel erreicht werden kann (ein Beispiel – siehe Script). Im Zweifelsfall stehen außerdem ein Handbuch und ein E-Mail Support zur Verfügung.