| 研究課題/領域番号 |
22K00792
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| 研究機関 | 会津大学 |
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研究代表者 |
BLAKE John 会津大学, コンピュータ理工学部, 上級准教授 (80635954)
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| 研究分担者 |
Pyshkin Evgeny 会津大学, コンピュータ理工学部, 上級准教授 (50794088)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| キーワード | NLG / trend descriptions / describing graphs / intelligent CALL |
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| 研究実績の概要 |
A corpus of trend descriptions was compiled and manually analyzed to identify rhetorical patterns. The initial codebase of the description generator was created. We are still working on enabling examplars and practice descriptions to be generated at three different difficulty levels. An automated workflow incorporating AI-generated video explanations that are moderated by language experts has been trialled. A preliminary set of explanation videos has been created for piloting purposes.
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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
We have been able to follow our timeline set at the outset. The codebase will continue to be improved throughout the project, but the fundamental design and the core functions has been completed.
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| 今後の研究の推進方策 |
A more sophisticated combination of rule-based and probabilistic parsing will be used to create a powerful NLG pipeline. This pipeline will draw on published research to provide users with access to cutting-edge research in NLG. At the end of this year, we expect to deploy an online version for testing purposes.
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| 次年度使用額が生じた理由 |
The difference is only 1,320 yen. This can be used to pay a student worker.
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