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The article focuses on the lexeme Ahnung. A lexicographic analysis shows the range of Information offered by Ahnung in selected dictionaries, aespecially monolingual DaF dictionaries, and displays how the Spectrum of meaning is represented in them. Corpus-based analyses from two samples from FOLK and DeReKo investigate exemplary form characteristics and, with regard to the written-language data, the occurrence in text types. Ahnung shows a slightly higher combinatorial potential in written-linguistic data than in spoken-linguistic data. A clear tendency to the connection keine Ahnung is however to be recognized in both data sets.
In einem der zentralen Projekte der Abteilung Grammatik des IDS, Korpusgrammatik – grammatische Variation im standardsprachlichen und standardnahen Deutsch, wird derzeit u.a. die Wortbildung bearbeitet. Es werden auch Erkenntnisse und weiterführende Fragestellungen berücksichtigt, die sich aus dem Ende 2014 abgeschlossenen Projekt zur Semantik der deutschen Konnektoren ergeben haben. Das neue Projekt stützt sich noch stärker als schon das Konnektoren-Projekt auf Korpusauswertungen. Methodik und erste Ergebnisse werden im vorliegenden Text an zwei exemplarischen Fallgruppen demonstriert: Zunächst geht es um eine Reihe konzessiver Subjunktoren der Bildungsmuster ob-/wenn-/wiewohl etc.; sodann um Bildungen auf -falls, die zu den Adverbkonnektoren gehören. Bestand und sich aus dessen Systematisierung ergebende Wortbildungsmuster werden aus Korpusbelegen vervollständigt, und unterliegende Wortbildungsverfahren (im Kontrast zu der Lage bei den Hauptwortarten) werden diskutiert. Dabei zeigen sich unerwartete Mustervarianten, die auch Hinweise auf die Produktivität der Wortbildungsverfahren geben. Schließlich werden die Varianten mit grammatikexternen Metadaten korreliert, wobei die Möglichkeiten des statistischen Tools KoGra-R genutzt werden.
Recently, a claim was made, on the basis of the German Google Books 1-gram corpus (Michel et al., Quantitative Analysis of Culture Using Millions of Digitized Books. Science 2010; 331: 176–82), that there was a linear relationship between six non-technical non-Nazi words and three ‘explicitly Nazi words’ in times of World War II (Caruana-Galizia. 2015. Politics and the German language: Testing Orwell’s hypothesis using the Google N-Gram corpus. Digital Scholarship in the Humanities [Online]. http://dsh.oxfordjournals.org/cgi/doi/10.1093/llc/fqv011 (accessed 15 April 2015)). Here, I try to show that apparent relationships like this are the result of misspecified models that do not take into account the temporal aspect of time-series data. The main point of this article is to demonstrate why such analyses run the risk of incorrect statistical inference, where potential effects are both meaningless and can potentially lead to wrong conclusions.
Transkriptionswerkzeuge sind spezialisierte Softwaretools für die Transkription und Annotation von Audio- oder Videoaufzeichnungen gesprochener Sprache. Dieses Kapitel erklärt einleitend, worin der zusätzliche Nutzen solcher Werkzeuge gegenüber einfacher Textverarbeitungssoftware liegt, und gibt dann einen Überblick über grundlegende Prinzipien und einige weitverbreitete Tools dieser Art. Am Beispiel der Editoren FOLKER und OrthoNormal wird schließlich der praktische Einsatz zweier Werkzeuge in den Arbeitsabläufen eines Korpusprojekts illustriert.
This study examines what kind of cues and constraints for discourse interpretation can be derived from the logical and generic document structure of complex texts by the example of scientific journal articles. We performed statistical analysis on a corpus of scientific articles annotated on different annotations layers within the framework of XML-based multi-layer annotation. We introduce different discourse segment types that constrain the textual domains in which to identify rhetorical relation spans, and we show how a canonical sequence of text type structure categories is derived from the corpus annotations. Finally, we demonstrate how and which text type structure categories assigned to complex discourse segments of the type “block” statistically constrain the occurrence of rhetorical relation types.
The lexicography of German
(2020)
This chapter discusses the main dictionaries of the German language as it is spoken and written in Germany, and also German as it is spoken and written in Austria, Switzerland, the eastern fringes of Belgium, and South Tyrol. It also briefly describes Pennsylvania German. Corpora and other language resources used in German dictionary-making are also presented. Finally, there is a discussion of some current issues in German lexicography, as well as future prospects.
In a recent article, Meylan and Griffiths (Meylan & Griffiths, 2021, henceforth, M&G) focus their attention on the significant methodological challenges that can arise when using large-scale linguistic corpora. To this end, M&G revisit a well-known result of Piantadosi, Tily, and Gibson (2011, henceforth, PT&G) who argue that average information content is a better predictor of word length than word frequency. We applaud M&G who conducted a very important study that should be read by any researcher interested in working with large-scale corpora. The fact that M&G mostly failed to find clear evidence in favor of PT&G's main finding motivated us to test PT&G's idea on a subset of the largest archive of German language texts designed for linguistic research, the German Reference Corpus consisting of ∼43 billion words. We only find very little support for the primary data point reported by PT&G.