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Selective Blockade of CD28-Mediated T Cell Costimulation Protects Rhesus Monkeys against Acute Fatal Experimental Autoimmune Encephalomyelitis
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In: ISSN: 0022-1767 ; EISSN: 1550-6606 ; Journal of Immunology ; https://www.hal.inserm.fr/inserm-02148517 ; Journal of Immunology, Publisher : Baltimore : Williams & Wilkins, c1950-. Latest Publisher : Bethesda, MD : American Association of Immunologists, 2015, 194 (4), pp.1454-1466. ⟨10.4049/jimmunol.1402563⟩ (2015)
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Picking the right cherries? A comparison of corpus-based and qualitative analyses of news articles about masculinity ...
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Who benefits when discourse gets democratised?:analysing a Twitter corpus around the British Benefits Street debate
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Thinking about the news : thought presentation in early modern English news writing
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e-Language: communication in the digital age
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Abstract:
This chapter examines how we can start to build better descriptions of e-based discourse through the analysis of real-life examples of mixed source e-language, as evidence by corpora. Discourse is defined here as language-in-use in digital contexts, observed from both a micro (i.e. word-by-word, sentence and text-by-text level) and macro (i.e. ‘beyond the text’, considering the more socio-ideological factors influencing language choice and use) perspective. This chapter focuses specifically on exploring the incidence and frequency of modal verb usage in CANELC, and compares this to written and spoken samples of language taken from the BNC3 (British National Corpus). Based on these analyses, questions as to whether e-language appears more or less (in)direct and/or (im)polite than spoken and written discourse are explored.
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Keyword:
P Philology. Linguistics
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URL: http://orca.cf.ac.uk/72348/ https://doi.org/10.1057/9781137431738_2 http://orca.cf.ac.uk/72348/1/21.%20Knight,%202015.pdf
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Filtering the flood: semantic tagging as a method of identifying salient discourse topics in a large corpus of Hurricane Katrina reportage
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