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圖片描述技術輔助文本於可讀性模型準確度之研究

研究成果: 書貢獻/報告類型 › 會議論文篇章

摘要

“Adaptive reading” is the process of adapting the difficulty level of a text to the ability of the reader so that the reader can understand the text more easily. However, with the large number of books being published, it is time-consuming and labor-intensive to manually assess the difficulty level, and therefore, efforts have been made to develop readability models. In the past, the development of text readability models was often characterized by text, and the content of pictures was not considered as a factor in assessing the difficulty of text. However, it has been suggested in other fields that pictures can affect reading comprehension. Inspired by this research, this study will utilize picture description techniques to extract the content of pictures as features to be added to the text readability model, in order to investigate whether the addition of picture content can improve the accuracy of the readability model.

貢獻的翻譯標題Evaluating the Accuracy of Image Captioning Technology in Enhancing Text Readability Models
原文繁體中文
主出版物標題Proceedings of the 36th Conference on Computational Linguistics and Speech Processing, ROCLING 2024
編輯Shu-Chuan Tseng, Yu Tsao, Hen-Hsen Huang, Yao-Chung Fan, Chia-Hui Chang
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面184-194
頁數11
ISBN(電子)9789869576970
出版狀態已發佈 - 2024
事件36th Conference on Computational Linguistics and Speech Processing, ROCLING 2024 - Taipei City, 臺灣
持續時間: 2024 11月 4 → 2024 11月 5

出版系列

名字Proceedings of the 36th Conference on Computational Linguistics and Speech Processing, ROCLING 2024

會議

會議36th Conference on Computational Linguistics and Speech Processing, ROCLING 2024
國家/地區臺灣
城市Taipei City
期間2024/11/04 → 2024/11/05

Keywords

  • English Readability Model
  • Image Captioning
  • Text Readability

ASJC Scopus subject areas

  • 言語和聽力
  • 語言與語言學

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