| 研究課題/領域番号 |
18K00850
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| 研究機関 | 早稲田大学 |
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研究代表者 |
SCHARLOTH J. 早稲田大学, 国際学術院, 教授 (70585786)
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| 研究期間 (年度) |
2018-04-01 – 2021-03-31
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| キーワード | Pragmatics / Language Learning / Corpus Linguistics / Speech Acts / Basic Vocabulary / German |
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| 研究実績の概要 |
(1) Pre-Processing: During the first three months of the research project the database with speech act patterns was retrieved and tranformed from an outdated format into xml and json. Furthermore, all of the 244 subclasses of speech act types were reviewed and annotated with the positions of related slots. (2) Preparation for Visualization: During the following two months, various JavaScript libraries for visualization of and interaction with taxonomies were reviewed and tested. (3) Corpus building: The corpora used for the analysis werde updated and extended and comprise 1 billion words from newspapers and online discussion boards. (4) Data Analysis: The subsequent seven months were dedicated to the development and testing of software to compute the distribution of patterned and routinized forms of realization of certain speech act types as well as the most common fillers for slots. The size of search windows and the degree of attraction between elements were crucial parameters. (5) The scientist in charge has given two presentations at international conferences (German Society for Applied Linguistics, Society for Linguistics and Cultural Studies). Moreover, he has organized an international conference at Waseda University to discuss theoretical aspects of the research on speech acts with a focus on polite and invective speech acts on April 1 & 2, 2019. The conference featured 15 presentations, among those 6 from scholars from abroad.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The progress of the project is in line with the original research plan.
The following milestones have been reached: (1) The database of speech act patterns has been processed successfully, (2) the corpus building has been completed, (3) a potent JavaScript library has been identified with with D3.js, (4) The data analysis software was developed and tested on the whole dataset. (5) international scholarly exchange has been initiated.
The following challenges occurred: (1) Some of the patterns have shown the tendency to result in too greedy search patterns leading to a overestimation of the frequency of their usage. This has highlighted the neccessity of a more context sensitive modeling of those patterns. (2) Developing algorithms for a reliable identification of filler patterns has turned out to be a demanding and time-consuming task.
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| 今後の研究の推進方策 |
In the months ahead the principal investigator is planning to
(1) refine the context sensitive algorithms for speech act patterns associated with too greedy search patterns, (2) refine the algorithms for the detection of fillers and the boundaries of filler phrases, (3) compute pattern co-occurrences within single utterances, (4) compute pattern co-occurrences between subsequent utterances.
Two international conference presentations and a research stay abroad are scheduled for the upcoming academic year.
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| 次年度使用額が生じた理由 |
In the fiscal year 2019 I am planning to participate in an international conference (250,000 Yen) and to visit a research institution in Germany or Switzerland for around two weeks (400,000). The aim is to discuss methods and findings with international scholars.
The costs for both trips will amount in a total of 650,000, which will be covered by the 500,000 Yen of costs assigned in the financial plan for year 2, as well as the carry-over from the previous year.
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