Journal
The Appraisal of Eulogies Delivered at Mrs. Lee Kuan Yew Memorial Service
English Education Journal · Vol. 8 No. 4 (2018) · pp. 439–444
- ISSN
- 2087-0108, 2502-4566
- Published
- 2018-09-17
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The study reports the appraisal analysis and the rhetorical structure of eulogies delivered at Mrs. Lee Kuan Yew memorial service. Eulogies are meant to remember the person who died in a positive light, and offer an opportunity to speak about who the deceased was and the ways in which she or he made a difference in the lives of family, friends, and his or her community. Since eulogy contains praises for someone admired, and the speaker recalls the memories shared, he has to evaluate his feelings and relation by expressing attitude, his position towards the deceased, and gradable valuation. Such evaluation has to do with appraisal system. The research integrates the appraisal theory proposed by Martin and White (2005) and rhetorical structure (Kunkel and Dennis, 2003). This study employs discourse analysis method of research. The findings reveals that the eulogies have primarily used the judgement resources rather than affect and appreciation within the attitude system. As eulogizing function, the eulogy composed largely of laudation and praise, the use of judgement appraising items shows how the eulogizer’s assessment towards the admiring behaviour of the deceased during her life. Moreover, the utilization of the rhetorical structure contributes to the achievement of the communicative purpose of eulogy. Through the well-structured eulogies, the eulogizers heighten the audience member’s feelings of regard, love, and appreciation for the deceased.
Collaboration network of the authors
40 authors · 143 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Institut Agama Islam Negeri Kendari
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Januarius Mujiyanto | Affiliation unknown | 18 |
| Dwi Rukmini | Affiliation unknown | 12 |
| Abdurrachman Faridi | Affiliation unknown | 6 |
| Widhiyanto Widhiyanto | Affiliation unknown | 5 |
| Rahayu Puji Haryanti | Affiliation unknown | 4 |
| Warsono Warsono | Affiliation unknown | 4 |
| Rudi Hartono | Affiliation unknown | 4 |
| Dwi Anggani Linggar Bharati | Affiliation unknown | 4 |
| Abdurrahman Faridi | Affiliation unknown | 3 |
| Issy Yuliasri | Affiliation unknown | 3 |
| Mursid Saleh | Affiliation unknown | 3 |
| Suwandi Suwandi | Affiliation unknown | 3 |
| Hendi Pratama | Affiliation unknown | 2 |
| Dwi Anggani Linggar Bharati | Affiliation unknown | 2 |
| SRI WAHYUNI | Affiliation unknown | 2 |
| Katharina Rustipa | Affiliation unknown | 2 |
| Agung Ginanjar Anjaniputra | Affiliation unknown | 1 |
| Aprilian Ria Adisti | Affiliation unknown | 1 |
| Siti Nurohmah | Affiliation unknown | 1 |
| Saeful Bahri | Affiliation unknown | 1 |
| Dian Puspita Anggraeni | Affiliation unknown | 1 |
| Hanum Bestari | Affiliation unknown | 1 |
| Anik Hidayati | Affiliation unknown | 1 |
| Wa Ode Zulhidjah Awalyah | Institut Agama Islam Negeri Kendari | 1 |
| Indah Nurhidayah | Affiliation unknown | 1 |
| Zulfa Sakhiyya | Affiliation unknown | 1 |
| Lilis Sulistianti | Affiliation unknown | 1 |
| Fahmi Arif Sangaji | Affiliation unknown | 1 |
| Atika Purwaningtyas | Affiliation unknown | 1 |
| Moh. Ilhami Hakim | Affiliation unknown | 1 |
| Dwi Anggani | Affiliation unknown | 1 |
| M. Syaeful Rizki U | Affiliation unknown | 1 |
| Amalia Rahmawati | Affiliation unknown | 1 |
| Daniela Elivas Hastunar | Affiliation unknown | 1 |
| Ahmad Sofwan | Affiliation unknown | 1 |
| Bambang Ruby Sugiarto | Affiliation unknown | 1 |
| Hendro Kuncoro | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.