Automatic generation of English vocabulary questions using Internet text resources
| Project/Area Number |
15K12166
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Learning support system
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
小張 敬之 青山学院大学, 経済学部, 教授 (00224303)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 自然言語処理 / 英語語彙問題 / 自動問題作成 / 言語学習 / 英語語彙問題自動作成 |
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| Outline of Final Research Achievements |
We proposed a novel method for automatically generating English vocabulary tests. The English vocabulary question is a multiple-choice question consisting of a target word, a reading passage, a correct answer and distractors. Given a target word, we generate a reading passage from Web texts retrieved from the Internet, and then employ that reading passage and the WordNet lexical dictionary for generating question options. Two kinds of evaluation were conducted considering two aspects: (1) measuring English learners’ proficiency and (2) their similarity to the human-made questions. The first evaluation is based on the responses from English learners obtained through administering the machine-generated and human-made questions to them, and the second is based on the subjective judgement by English teachers. Both evaluations showed that the machine-generated questions had comparable quality with the human-made questions.
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Report
(3 results)
Research Products
(3 results)
