An appraisal analysis of judgement in vanity fair by william makepeace thackeray
This thesis examined Judgement, a sub-system of Attitude, which is one of the three semantic systems within the Appraisal theory belonging to the framework of Systemic Functional Linguistics developed by Halliday (1985). The aim of the study is to investigate the judgements used in Vanity Fai...
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| Format: | Abschlussarbeit |
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| Sprache: | English |
| Veröffentlicht: |
Đại học Ngoại ngữ, Đại học Đà Nẵng
2025
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| Schlagworte: | |
| Online Zugang: | https://data.ufl.udn.vn/handle/UFL/1065 |
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| Thư viện lưu trữ: | Trường Đại học Ngoại ngữ - Đại học Đà Nẵng |
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| Zusammenfassung: | This thesis examined Judgement, a sub-system of Attitude, which is
one of the three semantic systems within the Appraisal theory belonging to
the framework of Systemic Functional Linguistics developed by Halliday
(1985). The aim of the study is to investigate the judgements used in Vanity
Fair by William Makepeace Thackeray (1847) in English. In order to achieve
this aim, a combination of the descriptive, quantitative and qualitative
approach were used to describe the syntactic and semantic features of
Judgement used in the novel Vanity Fair. Specifically, the performance of
explicit and implicit judgement were analyzed. 180 samples of Judgement
realized by linguistic structures such as adjective phrases, noun phrases,
clauses and sentences were collected in the novel Vanity Fair in English. The
study found that instances of Judgement were realized with linguistic
structures such nominal phrases and adjective phrases in the clause of
message in form of both explicit and implicit judgement. Semantically,
instances of Judgement were realized in sub-areas of judgement such as social
esteem and social sanction which in turn, cover the semantic values of
normality, tenacity, capacity, veracity and propriety. Based on the result of
data analysis, some implications and suggestions comprehending and using
judgement in the novel Vanity Fair in particular and others English literary
works in general effectively |
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