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about  its  lack  of  representativeness  of  language  data  and  of  the  objective  and systematic  analysis  of  those  data.  Since  Hardt-Mautner,  Stubbs  strengthened  CDA with Corpus Linguistics, scholars in this field have made some efforts to implement the  corpus  methodology  to  CDA,  while  there  are  lots  of  research  possibilities  to  be explored.

2.2.2 Corpus Linguistics and Political Discourse in Media

The  recent  20  years  have  seen  more  researches  that  applied  Corpus  Linguistics methodologies  to  CDA.  These  researches  explore  the  internal  meaning  of  discourse through  the  observation  of  word  frequencies,  concordance  lines,  keywords, collocations, word clusters, lexical patterns, and grammatical structures. 

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Chapter 3 Analytical Framework ............................... 18

Chapter 4 Methodology ................................. 20

4.1 Data Collection and Corpus Building ................ 20

4.2 Data Processing ...................................... 21

Chapter 5 Analysis and Discussion ................................ 26

5.1 Threat Construction in Brexit Newspaper Discourse ......................... 26

5.1.1 Conceptualization of us (Britain) and them (E.U.) ............................... 30

5.1.2 Economic Threat .................................... 32

Chapter 5 Analysis and Discussion

5.1 Threat Construction in Brexit Newspaper Discourse

With the help of corpus software, Section 5.1 analyzes the news texts on Brexit by  3  pro-Leave  tabloids,  utilizing  the  means  of  word  frequency,  collocation,  and concordance in order. 

Word  frequency  is  the  most  basic  statistical  method  in  corpus  linguistics.  It implements  the  analysis  of  texts  from  the  most  basic  lexical  level.  With  the  help  of this  method,  researchers  can  intuitively  obtain  the  salient  features  of  the  specific language. The use of high-frequency words can largely reflect the author's attitude and consciousness.  After  omitting  common  articles,  prepositions,  and  conjunctions,  I sorted out the top 100 highly frequent words in corpus one. Below is the list of top 30 frequent words. It can be seen from the list that the marked words of us entities, i.e., “we” (4264), “I” (2630), “our” (2241), “Britain” (1929), and “UK” (1864) and them entities, i.e., “EU” (5637) and “they” (2317) appear very frequently, which conforms to the rule of dichotomy as specified in DST. Besides these words, other deictic words on the high-frequency word list include “us” (1148) and “British” (1001) of us camp，and 本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。