National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Textual Patterns and Idiolect: a Corpus-Assisted Study of Individual Textual Profiles of Hillary Clinton and Donald Trump
Kvítková, Alena ; Malá, Markéta (advisor) ; Klégr, Aleš (referee)
The present master thesis analyses the idiolects of presidential candidates Hillary Clinton and Donald Trump against the background of the speeches of other candidates for the post of President of the United States in 2016. Using the 'corpus-assisted discourse analysis' (Partington et al., 2013), the thesis strives to uncover words, phrases and patterns that distinguish the speech of the two candidates in a political discourse from other presidential candidates. First, the thesis examines the keywords, collocations, negative keywords and clusters of the respective target corpora. While the main focal points of the study are lexical and grammatical indicators of style, proper nouns and lexical indicators of content ('aboutness keywords') are subjects to analysis as well. In the next step the results of the respective analyses are compared, i.e. the differences between the speeches of Hillary Clinton and Donald Trump are discussed.
The media representation of the European refugee crisis in selected British newspapers
Kvítková, Alena ; Šafařík, Petr (advisor) ; Váška, Jan (referee)
The present bachelor thesis is concerned with media representation of the European refugee crisis in chosen British newspapers during its peak at the turn of September and October 2015. The aim is to examine a sample consisting of four newspapers - which is balanced in terms of their type as tabloids and broadsheets as well as the party-press parallelism - the frameworks they use and the positivity or negativity of an overall media image of the refugee crisis. At first the thesis analyses media frameworks and media image of the respective newspapers The Guardian, The Times, The Daily Mirror and The Daily Mail, which are in the next step confronted and compared based on the different newspaper types. In this way the tendency towards different portrayal of events in left-wing vs. right-wing newspapers as well as tabloids vs. broadsheets is explored. Another important aspect of this paper is to deduce the overall most frequently used frameworks and the overall image of the refugee crisis from all of the articles from the four newspapers and to confront these results with British public opinion surveys. This allows us to test the theory that refugee crises are often enveloped in negativity or the theory that media and the public influence each other and therefore media can be used as a kind of probe...
Czech optative sentences introduced by "kéž" and "ať" and their English translation counterparts
Kvítková, Alena ; Brůhová, Gabriela (advisor) ; Dušková, Libuše (referee)
The thesis studies Czech optative sentences introduced by kéž and ať and their English translation counterparts. The features of the two respective types of sentences differ notably - while sentences introduced by kéž may appear in present or past conditional as well as in indicative, each one indicating different temporal reference of the wish, sentences with ať make use of indicative only. This difference is expected to cause each of them to be paired with different counterparts or cause one counterpart to be more popular with one of the sentence types than with the other. All of the typical means in the English language conveying the function of a wish, usually classed under exclamative sentences, appear among the examples as well as some of the less common means. Focus is given to the interdependence of translation counterparts with time reference of the wish and its un/realizability. In cases where the time orientation of the wish cannot be the decisive factor, attention will be paid to the style of the text or fixity of the phrases. For the purpose of the analysis one hundred examples of Czech optative sentences- fifty sentences introduced by kéž and fifty introduced by ať - together with their English translation counterparts were extracted from InterCorp.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.