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Developing Question Generation System for Bahasa Indonesia Using Indonesian Standard Language Regulation

Published: 30 July 2021 Publication History

Abstract

In education, teacher will frequently ask his student to measure the level of understanding for each student. Meanwhile, the need for self-evaluation for students is requiring the system that able to automatically generate question whenever they want. In order to tackle that problem, there is an area of research, called as question generation (QG). Question generation is a task to make a system that able to automatically generate questions as good as human. In English, there are already many researches in this area, that is from traditionally using pattern matching, or statistically with machine learning. Meanwhile, there is still not many works in Bahasa Indonesia. This research tries to drive the research in question generation, especially in Bahasa Indonesia. Tata Bahasa Baku Bahasa Indonesia (TBBI) is a set of standard language rules in Bahasa Indonesia, is used in this work to convert statement sentence into interrogative sentence. This method allows the more directed pattern matching for converting statement into question. By using this method, the system is able to generate up to 5,000 different questions, with just one book.

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Cited By

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  • (2022)Automatic Question Generation from Indonesian Texts Using Text-to-Text Transformers2022 International Conference on Electrical and Information Technology (IEIT)10.1109/IEIT56384.2022.9967858(84-89)Online publication date: 15-Sep-2022
  • (2022)Automatic Item Generation with Reading Passages: A Systematic Literature Review2022 8th International Conference on Education and Technology (ICET)10.1109/ICET56879.2022.9990738(250-255)Online publication date: 15-Oct-2022

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cover image ACM Other conferences
ICSCA '21: Proceedings of the 2021 10th International Conference on Software and Computer Applications
February 2021
325 pages
ISBN:9781450388825
DOI:10.1145/3457784
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Association for Computing Machinery

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Published: 30 July 2021

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Author Tags

  1. Pattern Matching
  2. Question Generation
  3. Rule Base

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  • Refereed limited

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  • PUTI Q2

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ICSCA 2021

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View all
  • (2022)Automatic Question Generation from Indonesian Texts Using Text-to-Text Transformers2022 International Conference on Electrical and Information Technology (IEIT)10.1109/IEIT56384.2022.9967858(84-89)Online publication date: 15-Sep-2022
  • (2022)Automatic Item Generation with Reading Passages: A Systematic Literature Review2022 8th International Conference on Education and Technology (ICET)10.1109/ICET56879.2022.9990738(250-255)Online publication date: 15-Oct-2022

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