2022 Fiscal Year Annual Research Report
A corpus-driven approach to identifying discipline-specific metaphorical vocabulary for Japanese university English-medium instruction programs
| Project/Area Number |
20K00863
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| Research Institution | University of Niigata Prefecture |
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Principal Investigator |
ベネット フィリップ 新潟県立大学, 国際地域学部, 准教授 (70601714)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | Corpora / EMI / Metaphor |
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| Outline of Annual Research Achievements |
During the time I have been receiving taken funding, I have built a 2-million-word corpus of materials from English as a Medium of Instruction courses in 5 Japanese universities. The corpus contains both spoken (16%) and written (84%) data, and is 4 times larger than the corpus used in my prior study in this area.
I have taken samples of data from this corpus for four academic disciplines (Applied Linguistics, Literature, Philosophy, and Political Science - 50,000-word samples each) and manually coded them for the presence of metaphorical vocabulary. I enlisted a second rater who is also familiar with the metaphor coding procedure to establish the reliability of the codings.
I then used these codings to calculate estimates of the rate at which learners in EMI programs are likely to encounter metaphorical vocabulary. I also identified prominent metaphorical themes in each of the four disciplines and estimated the proportion of all metaphors that these comprise.
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