TY - JOUR U1 - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed) A1 - Schröter, Melani A1 - Storjohann, Petra T1 - Patterns of discourse semantics. A corpus-assisted study of financial crisis in British newspaper discourse in 2009 JF - Pragmatics and Society N2 - Corpus-assisted analyses of public discourse often focus on the level of the lexicon. This article argues in favour of corpus-assisted analyses of discourse, but also in favour of conceptualising salient lexical items in public discourse in a more determined way. It draws partly on non-Anglophone academic traditions in order to promote a conceptualisation of discourse keywords, thereby highlighting how their meaning is determined by their use in discourse contexts. It also argues in favour of emphasising the cognitive and epistemic dimensions of discourse-determined semantic structures. These points will be exemplified by means of a corpus-assisted, as well as a frame-based analysis of the discourse keyword financial crisis in British newspaper articles from 2009. Collocations of financial crisis are assigned to a generic matrix frame for ‘event’ which contains slots that specify possible statements about events. By looking at which slots are more, respectively less filled with collocates of financial crisis, we will trace semantic presence as well as absence, and thereby highlight the pragmatic dimensions of lexical semantics in public discourse. The article also advocates the suitability of discourse keyword analyses for systematic contrastive analyses of public/political discourse and for lexicographical projects that could serve to extend the insights drawn from corpus-guided approaches to discourse analysis. KW - Diskursanalyse KW - Diskurssemantik KW - Korpus KW - Englisch KW - Zeitung KW - discourse keywords (DKW) KW - discourse semantics KW - semantic presence/absence KW - frame-based contrastive analysis KW - corpus linguistics KW - public/ political discourse Y1 - 2015 UN - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:mh39-36153 SN - 1878-9714 SS - 1878-9714 U6 - https://dx.doi.org/10.1075/ps.6.1.03sch DO - https://dx.doi.org/10.1075/ps.6.1.03sch N1 - Dieser Beitrag ist aus urheberrechtlichen Gründen nicht frei zugänglich. VL - 6 IS - 1 SP - 43 EP - 66 PB - John Benjamins CY - Amsterdam ER - TY - JOUR U1 - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed) A1 - Koplenig, Alexander T1 - Why the quantitative analysis of diachronic corpora that does not consider the temporal aspect of time-series can lead to wrong conclusions JF - Digital Scholarship in the Humanities N2 - 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. KW - Sprachstatistik KW - Korpus KW - Internet Y1 - 2017 UN - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:mh39-43679 SN - 2055-768X SS - 2055-768X U6 - https://dx.doi.org/0.1093/llc/fqv030 DO - https://dx.doi.org/0.1093/llc/fqv030 N1 - Advance Access published August 13, 2015 Print version: Digital Scholarship Humanities (2017) 32 (1): 159-168. VL - 32 (2017) IS - 1 SP - 159 EP - 168 PB - Oxford University Press (OUP) CY - Oxford ER -