Can Generative AI Create Example Sentences that Contribute to Japanese Language Education? : Comparing Example Sentences and English Tranlation Generated by ChatGPT (GPT-3.5, GPT-4.0) and the “Jreibun” Project

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  • 生成AIに日本語教育に資する例文作成は可能か —ChatGPT（GPT-3.5, GPT-4.0）と「Jreibun」プロジェクトによる作成例文およびその英訳を比較する—
  • セイセイ AI ニ ニホンゴ キョウイク ニ シスル レイブン サクセイ ワ カノウ カ —ChatGPT（GPT-3.5, GPT-4.0）ト「Jreibun」プロジェクト ニヨル サクセイ レイブン オヨビ ソノ エイヤク オ ヒカクスル—

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Using generative AI (ChatGPT (GPT-3.5, GPT-4.0)), we investigated the possibility of creating high-quality Japanese example sentences to contribute to Japanese language education, as well as the quality of their English translations. We compared these with example sentences and their translations from the “Japanese Example Sentence Bank (Jreibun)”. Our analysis revealed that the Japanese example sentences generated by GPT-3.5 currently do not meet various requirements. While GPT-4.0 generally adheres to specified conditions, modifications such as contextual supplementation are necessary for educational purposes. Although the English translations by GPT-4.0 seem to have improved accuracy compared to GPT-3.5, both versions still exhibit word-level mistranslations and occasional misunderstandings at the sentence level. It is essential to utilize generative AI for example sentence creation and translation with attention to these factors.

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