Expressive speech act analysis of “Sofia the First Once upon a Princess”
Syahida, Titik (2023) Expressive speech act analysis of “Sofia the First Once upon a Princess”. Undergraduate (S1) thesis, Universitas Islam Negeri Walisongo Semarang.
Skripsi_1903046093_Titik_Syahida.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (1MB)
Abstract
The study aims to find out types of expressive speech act used by
Sofia as the main character in “Sofia the First Once Upon a Princess” film and the contribution of expressive for thanking and apologizing to EFL learners. This study used descriptive qualitative method with documentation to collect data such as films, film scripts which include the characters’ name and dialog. The result of this study showed that 40 utterances and six types of expressive speech act. There are expressive for thanking 7 data (17.5%), expressive for apologizing 4 data (10%), expressive for greeting 12 data (30%), expressive for congratulating 5 data (12.5%), expressive for wishing 3 data (7.5%), and expressive for attitude 9 data (22.5%). It can be concluded that all types of expressive speech act are used by Sofia. Expressive for greeting has the dominant because Sofia is new member of the royal family that should be greeted to everyone. The expressive for thanking and apologizing has the contribution for EFL learners of Junior High School.
Item Type: | Thesis (Undergraduate (S1)) |
---|---|
Uncontrolled Keywords: | Speech Act; Expressive Speech Act; Film |
Subjects: | 300 Social sciences > 370 Education > 371 School management; special education > 371.3 Metode, kegiatan belajar mengajar; metode pembelajaran 400 Language > 420 English and Old English |
Divisions: | Fakultas Ilmu Tarbiyah dan Keguruan > 88203 - Pendidikan Bahasa Inggris |
Depositing User: | Miswan Miswan |
Date Deposited: | 05 Sep 2024 01:54 |
Last Modified: | 05 Sep 2024 01:54 |
URI: | https://eprints.walisongo.ac.id/id/eprint/23894 |
Actions (login required)
Downloads
Downloads per month over past year