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- W4302041232 abstract "Artificial Intelligence has contributed remarkably towards educational purposes in the last few decades. With the rise of online learning, most of the tedious tasks have been transferred from the human hands to machines and programs. Question generation from educational paragraphs has been a challenging activity for educators as it requires significant resources. Although there have been major breakthroughs in the English language towards this goal, there is a need for technology-enabled educational services in Indian regional languages. In this paper, we present automatic question generation for two Indian languages - Hindi and Marathi utilizing Sentence Constituency Parsing with openAI Generative Pre-Trained(GPT) and Text-to-Text Transfer Transformers(T5) models, evaluated by content experts of corresponding languages, generating optimum questions after removing repetitions and inaccuracies in structural constraints on composition." @default.
- W4302041232 created "2022-10-06" @default.
- W4302041232 creator A5004507615 @default.
- W4302041232 date "2022-07-01" @default.
- W4302041232 modified "2023-10-16" @default.
- W4302041232 title "Automatic Question Generation for Hindi and Marathi" @default.
- W4302041232 cites W2161325192 @default.
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- W4302041232 doi "https://doi.org/10.1109/icalt55010.2022.00012" @default.
- W4302041232 hasPublicationYear "2022" @default.
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