摘要
当今网络信息时代,人们通过电脑、手机、触摸屏等多种设备与网络世界相联。键盘作为人机交互的重要工具,在我们的工作、学习和生活中发挥着极大作用。普遍使用的键盘是传统的QWERTY键盘,依赖英文输入字母的使用频率情况设计构建。这种键盘是否适合中国人的使用,取决于英文输入字母频率与中文拼音输入的字母频率是否存在显著差别。本文研究中文全拼录入中字母的使用频率情况,使用抽样调查方式搜集具有代表性的中文材料,采用统计学中文本挖掘的算法,在Python中实现相关算法。结果显示,中文全拼录入中字母的使用频率与英文的字母频率存在显著性差异。
In the network information age, people connect with the network world through computers, mobile phones, touch screens and other devices. As an important tool of human-computer interaction, keyboard plays an important role in our work, study and life. The most commonly used keyboard is the traditional QWERTY keyboard, which relies on the frequency of input letters in English. Whether the keyboard is suitable for Chinese use depends on whether there is a significant difference in the frequency of letters between English and Chinese Pinyin. In this paper, we study the frequency of the letters in the Chinese complete spelling input, collect the representative Chinese materials by sampling survey, and implement the relevant algorithms in Python by using the text mining algorithm in statistics. The results show that there is a significant difference between the frequency of Chinese characters and English characters.
出处
《应用数学进展》
2021年第5期1455-1464,共10页
Advances in Applied Mathematics