Intelligent Chinese Typesetting Model Based on Information Importance Can Enhance Text Readability

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Interaction Pub Date : 2024-07-17 DOI:10.1080/10447318.2024.2375799

Hui Ren, Tao Yan, Xianglong Cheng, Ruimin Lyu, Yuan Liu

引用次数: 0

Abstract

In today’s era of information overload, efficiently extracting valuable information from a large volume of textual data has become a crucial challenge in reading. This study aimed to explore the en...

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基于信息重要性的智能中文排版模型可提高文本可读性

在当今信息过载的时代，从大量文本数据中有效提取有价值的信息已成为阅读中的一项重要挑战。本研究旨在探索从大量文本数据中提取有价值信息的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Human-Computer Interaction 工程技术-计算机：控制论

CiteScore

9.00

自引率

21.30%

发文量

347

审稿时长

2 months

期刊介绍： The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing. It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.