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Evaluation of automatically generated English vocabulary questions
This paper describes details of the evaluation experiments for questions created by an automatic question generation system. Given a target word and one of its word senses, the system generates a multiple-choice English vocabulary question asking for the closest in meaning to the target word in the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302865/ https://www.ncbi.nlm.nih.gov/pubmed/30613260 http://dx.doi.org/10.1186/s41039-017-0051-y |
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author | Susanti, Yuni Tokunaga, Takenobu Nishikawa, Hitoshi Obari, Hiroyuki |
author_facet | Susanti, Yuni Tokunaga, Takenobu Nishikawa, Hitoshi Obari, Hiroyuki |
author_sort | Susanti, Yuni |
collection | PubMed |
description | This paper describes details of the evaluation experiments for questions created by an automatic question generation system. Given a target word and one of its word senses, the system generates a multiple-choice English vocabulary question asking for the closest in meaning to the target word in the reading passage. 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 were able to achieve a comparable level with the human-made questions in both measuring English proficiency and similarity. |
format | Online Article Text |
id | pubmed-6302865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-63028652019-01-04 Evaluation of automatically generated English vocabulary questions Susanti, Yuni Tokunaga, Takenobu Nishikawa, Hitoshi Obari, Hiroyuki Res Pract Technol Enhanc Learn Research This paper describes details of the evaluation experiments for questions created by an automatic question generation system. Given a target word and one of its word senses, the system generates a multiple-choice English vocabulary question asking for the closest in meaning to the target word in the reading passage. 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 were able to achieve a comparable level with the human-made questions in both measuring English proficiency and similarity. Springer Singapore 2017-03-07 2017 /pmc/articles/PMC6302865/ /pubmed/30613260 http://dx.doi.org/10.1186/s41039-017-0051-y Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Susanti, Yuni Tokunaga, Takenobu Nishikawa, Hitoshi Obari, Hiroyuki Evaluation of automatically generated English vocabulary questions |
title | Evaluation of automatically generated English vocabulary questions |
title_full | Evaluation of automatically generated English vocabulary questions |
title_fullStr | Evaluation of automatically generated English vocabulary questions |
title_full_unstemmed | Evaluation of automatically generated English vocabulary questions |
title_short | Evaluation of automatically generated English vocabulary questions |
title_sort | evaluation of automatically generated english vocabulary questions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302865/ https://www.ncbi.nlm.nih.gov/pubmed/30613260 http://dx.doi.org/10.1186/s41039-017-0051-y |
work_keys_str_mv | AT susantiyuni evaluationofautomaticallygeneratedenglishvocabularyquestions AT tokunagatakenobu evaluationofautomaticallygeneratedenglishvocabularyquestions AT nishikawahitoshi evaluationofautomaticallygeneratedenglishvocabularyquestions AT obarihiroyuki evaluationofautomaticallygeneratedenglishvocabularyquestions |