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Evaluative Meanings and Disciplinar
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ABSTRACT The purpose of this study
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CONTENTS C H APT E R 1. Introductio
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C H APT E R 9. The second theme: Re
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Figure A-1 Histogram for tokens of
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Table 8.15 The SKILFULNESS group in
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CHAPTER 1. Introduction 1.1. Genera
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study are still not large enough fo
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RQ1) Is it valuable to apply a new
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in the way each of these evaluative
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disciplines feature different bodie
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White and Liccardi (2006) have show
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However, it was not possible to cla
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typically presented as impersonal a
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2.5. Applied linguistics and busine
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2.6.2. Business studies Business co
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Swales (2004) thus offers a rather
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genre has come increasingly under t
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CHAPTER 3. Pattern, meaning and eva
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170). 7 On the basis of the vast am
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3.3. Lexico-grammatical patterns 3.
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syntactic patterns encodes differen
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RESULT/DATA based on DATA/THEORY In
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(Biber, 1988, p. 237). Indeed, Chaf
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aspect of language use. For these r
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1986), hedging (Holmes, 1988; Hylan
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adverbs but rather in certain patte
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average work is described as sound
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are also interrelated. In an attemp
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CHAPTER 4. Correspondence analysis
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- end. Although there is no doubt t
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appeal of multivariate analysis is
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While such observations might be in
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The contingency table has the follo
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CHAPTER 5. Corpus creation and meth
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of sub-disciplines contained within
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As Figure 5.1 illustrates, regardle
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corpus-based discourse analysis. Th
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analysis was conducted with the mat
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5.3.4. Discourse analysis procedure
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CHAPTER 6. A case study In this cha
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express human feelings: specificall
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contingency table consists of 66 ro
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of this case study is limited. Howe
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likely to express what they feel ab
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6.2.2. The NERVOUSNESS group While
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adjectives in this group in the pat
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While the LSP enthusiastic about N
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AWARE and IGNORANT group in Francis
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CHAPTER 7. Data analyses 7.1. Intro
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The table is divided into high-freq
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about of Order ALC Freq. BC Freq. B
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Tables 7.2 and 7.3 above indicate t
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same for a corpus of a more special
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Table 7.5 above indicates that simi
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about for from in of on to with 8 l
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In the plot shown in Figure 7.1, it
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Figure 7.4. Adjective plot in the s
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Figure 7.7. Adjective plot for A DJ
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Figure 7.9. Adjective plot for the
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Figure 7.11. Adjective plot for the
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Figure 7.13. Adjective plot for the
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same time. This being the case, I h
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Other adjectives in this quadrant a
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This concludes my analysis of the e
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Figure 7.21 also indicates that adj
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With the sole exception of the patt
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evaluation (Martin & Rose, 2007, p.
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judgments tend to draw on both emot
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[Business studies: neutral about/on
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modals in BC, on the other hand, mo
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Order ALC Freq. BC Freq. 1 more 14
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itself. 8.1.3. Importance The third
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Fewer of the control variables are
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someone/something is certain or unc
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current/past oriented. While the nu
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monogloss heterogloss ALC 35%(7) 65
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that the default assumption among a
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monogloss heterogloss ALC 29%(4) 71
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general category of appreciation as
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while the BC examples evaluate the
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it seems that researchers in busine
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Overall, my findings suggest that a
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interpretation. Finally, these sema
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- Page 209 and 210: ALC BC Negative Noun inherent other
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- Page 223 and 224: across the two disciplines. However
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- Page 247 and 248: vague 1 worried 1 1 2 1 2 1 wrong 1
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- Page 251 and 252: indistinguishable 8 4 1 1 1 1 2 1 i
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- Page 255 and 256: Table B-10. Contingency table for t
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- Page 259 and 260: 51 free 17 unique 18 141 antagonist
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- Page 263 and 264: new 2 12 1 11 2 5 4 8 3 2 9 3 45 ne
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puzzled-by 1 recogni
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SRHE/Open University Press Bell, R.
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articles in biology and history. In
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Herbert, A. (1965). The structure o
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Lewis, M. (1997). Implementing the
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Rundell, M. (Ed.). (2007). Macmilla
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functional perspective. English for