dc.description.abstract | This thesis analyses three lyrical texts of melancholic love: My Happy Ending
by Avril Lavigne, I Hate Everything about You by Ugly Kid Joe and Please Don’t
Leave Me by Pink. This analysis deals with stylistics and especially class word,
lexical cohesion and personal reference (cohesive devices). It will be used to find out
the stylistic and cohesive devices of the theme of sad-love as the scope of this study.
The study is a stylistic analysis based on Halliday’s Functional Stylistics. The
supporting study of this thesis is Halliday’s Functional Discourse. The two theories
provide very useful theoretical and analytical framework for exploring and explaining
how texts mean. This thesis is intended to know how class word, cohesive chains
realize cohesive devices (lexical cohesion and personal reference) in the relation with
lexicogrammatical patterns (transitivity, mood and theme). Then, both semantic
components and cohesive devices realize context of situation (field, tenor and mode).
This thesis uses library research to find out the concepts relevant to the
theoretical framework of the research. Qualitative data are used to obtain the verbal
descriptions, namely three lyrical texts. The descriptive method is used to describe
class word, cohesive devices and context of situation.
The result of this thesis indicates that the three lyrical texts share the same
tenor: the interaction between two lovers. However, they differ in many ways. The
field of first lyrical text is the sad-love of a girl toward a boy; whereas the mode is a
narrative text. The field of second lyrical text is the hatred and criticism of a boy
toward a girl; meanwhile the mode is a descriptive text. The field of the third lyrical
text is the persuasion of a girl which is full of expectation toward a boy, and the mode
is a persuasive text. In conclusion, Functional Stylistic Analysis is used to analyze three lyrical texts in order to know how the texts are closely related in terms of the
melancholic or sad-love relationship story. | en_US |