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  • 1.
    Levin, Magnus
    Linnaeus University, Faculty of Arts and Humanities, Department of Languages.
    Claridge, Claudia. Hyperbole in English: A corpus-based study of exaggeration2015In: ICAME Journal/International Computer Archive of Modern English, ISSN 0801-5775, E-ISSN 1502-5462, Vol. 39, no 1, p. 140-144Article, book review (Other academic)
  • 2.
    Levin, Magnus
    Linnaeus University, Faculty of Arts and Humanities, Department of Languages.
    Douglas Biber and Bethany Gray. Grammatical complexity in academic English. Linguistic change in writing: Cambridge: Cambridge University Press. 2016. 277 pp. ISBN 978-1-107-00926-42017In: ICAME Journal/International Computer Archive of Modern English, ISSN 0801-5775, E-ISSN 1502-5462, Vol. 41, p. 215-219Article, book review (Other academic)
  • 3.
    Simaki, Vasiliki
    et al.
    Lancaster University,UK ; Lund University.
    Paradis, Carita
    Lund University.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Evaluating stance-annotated sentences from the Brexit Blog Corpus: A quantitative linguistic analysis2018In: ICAME Journal/International Computer Archive of Modern English, ISSN 0801-5775, E-ISSN 1502-5462, Vol. 42, no 1, p. 133-166Article in journal (Refereed)
    Abstract [en]

    This paper offers a formally driven quantitative analysis of stance-annotated sentences in the Brexit Blog Corpus (BBC). Our goal is to highlight linguistic features that determine the formal profiles of six stance categories (contrariety, hypotheticality, necessity, prediction, source of knowledge and uncertainty) in a subset of the BBC. The study has two parts: firstly, it examines a large number of formal linguistic features that occur in the sentences in order to describe the specific characteristics of each category, and secondly, it compares characteristics in the entire data set in order to determine linguistic similarities throughout the data set. We show that among the six stance categories in the corpus, contrariety and necessity are the most discriminative ones, with the former using longer sentences, more conjunctions, more repetitions and shorter forms than the sentences expressing other stances. The latter has longer lexical forms but shorter sentences, which are syntactically more complex. We show that stance in our data set is expressed in sentences with around 21 words per sentence. The sentences consist mainly of alphabetical characters forming a varied vocabulary without special forms, such as digits or special characters.

  • 4.
    Taavitsainen, Irma
    et al.
    University of Helsinki, Finland.
    Hiltunen, Turo
    University of Helsinki, Finland.
    Lehto, Anu
    University of Helsinki, Finland.
    Marttila, Ville
    University of Helsinki, Finland.
    Pahta, Päivi
    University of Tampere, Finland.
    Ratia, Maura
    University of Helsinki, Finland.
    Suhr, Carla
    University of Turku, Finland.
    Tyrkkö, Jukka
    University of Tampere, Finland.
    Late Modern English Medical Texts 1700-1800: A corpus for analysing eighteenth-century medical English2014In: ICAME Journal/International Computer Archive of Modern English, ISSN 0801-5775, E-ISSN 1502-5462, Vol. 38, no 1, p. 137-153Article in journal (Refereed)
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