Issue |
SHS Web Conf.
Volume 102, 2021
The 3rd ETLTC International Conference on Information and Communications Technology (ETLTC2021)
|
|
---|---|---|
Article Number | 01011 | |
Number of page(s) | 9 | |
Section | Technology Assisted Language Learning | |
DOI | https://doi.org/10.1051/shsconf/202110201011 | |
Published online | 03 May 2021 |
Design and development of a question generator for learners of English
1
Human Interface Lab, University of Aizu, Aizuwakamatsu, Japan
2
Center for Language Research, University of Aizu, Aizuwakamatsu, Japan
* e-mail: s1252012@u-aizu.ac.jp
** e-mail: jblake@u-aizu.ac.jp
In this paper, we describe the design and development of the first release of an online question generator. This pedagogic tool enables learners of English to generate open-ended, closed-ended and tag questions for a target sentence. Learners input a sentence (i.e. declarative statement) and select the type or types of questions to generate. Question generation is a non-trivial task involving numerous processes including syntactic transformation and pronoun selection. Syntactic transformation was achieved through the use of rules based on parse trees while the selection of interrogative pronouns was achieved using matching potential question foci with a linguistic knowledge encoded condition set. Lessons learned are detailed to help other researchers avoid or attempt to ameliorate the pitfalls and problems encountered in this study.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.