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Keywords

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

Document Type

Article

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.

First Page

55

Last Page

63

Page Range

55-63

Issue

1

Volume

8

Digital Object Identifier (DOI)

10.21831/elinvo.v8i1.56491

Source

https://journal.uny.ac.id/index.php/elinvo/article/view/56491

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