A Comparison of OpenNMT Sequence Model for Indonesian Automatic Question Generation

Yuniar Indrihapsari, Information Technology, Universitas Negeri Yogyakarta, Indonesia
Handaru Jati, Informatics Engineering Education, Universitas Negeri Yogyakarta, Indonesia
N. Nurkhamid, Information Technology, Universitas Negeri Yogyakarta, Indonesia
Ratna Wardani, Informatics Engineering Education, Universitas Negeri Yogyakarta, Indonesia
Pradana Setialana, Information Technology, Universitas Negeri Yogyakarta, Indonesia
Muhamad Izzudin Mahali, Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taiwan, Province of China
Danang Wijaya, Informatics Engineering Education, Universitas Negeri Yogyakarta, Indonesia
Dhista Dwi Nur Ardiansyah, Informatics Engineering Education, Universitas Negeri Yogyakarta, Indonesia
Satya Adhiyaksa Ardy, Information Technology, Universitas Negeri Yogyakarta, Indonesia
Maria Bernadetha Charlotta Wonda Tiala, Information Technology, Universitas Negeri Yogyakarta, Indonesia
Andi Hakim Al-khawarizmi, Information Technology, Universitas Negeri Yogyakarta, Indonesia
Widya Ardiyanto, Information Technology, Universitas Negeri Yogyakarta, Indonesia

 10.21831/elinvo.v8i1.56491

Abstract


Evaluation of learners is a crucial aspect of the educational system. However, creating evaluation instruments is a process that demands teachers' time and energy. The researcher developed the Indonesia Automatic Question Generator in this study using an architecture modified from past studies. The primary goals of this project are (1) to construct an AQG tool utilizing the OpenNMT series and (2) to analyze and compare the model's performance. As a data source, this study employs the SQuAD 2.0 dataset and numerous sequence techniques, including BiGRU, BiLSTM, and Transformer. The researcher trained the models using OpenNMT-py and Google Collaboratory. This approach generates questions that are relevant to the context of the source. This study found that the model was acceptable.


Keywords


openNMT; SQuAD 2.0; Indonesian automatic question generator; evaluation process

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DOI: https://doi.org/10.21831/elinvo.v8i1.56491

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