计算机应用 ›› 2013, Vol. 33 ›› Issue (07): 2067-2070.DOI: 10.11772/j.issn.1001-9081.2013.07.2067

• 典型应用 • 上一篇    下一篇

基于MicroWindows的多设备支持智能中文输入系统

周慧娟,向荣   

  1. 浙江大学 生物医学工程与仪器科学学院,杭州 310027
  • 收稿日期:2013-01-09 修回日期:2013-02-15 出版日期:2013-07-01 发布日期:2013-07-06
  • 通讯作者: 周慧娟
  • 作者简介:周慧娟(1987-),女,福建莆田人,硕士研究生,主要研究方向:视频监控系统、嵌入式系统Web;向荣(1988-),男,湖北嘉鱼人,硕士研究生,主要研究方向:视频监控系统、图像处理、模式识别。
  • 基金资助:

    国家863计划项目(2010AA09Z104)

MicroWindows-based multi-device support intelligent Chinese input system

ZHOU Huijuan,XIANG Rong   

  1. College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou Zhejiang 310027, China
  • Received:2013-01-09 Revised:2013-02-15 Online:2013-07-06 Published:2013-07-01
  • Contact: ZHOU Huijuan

摘要: 针对现有嵌入式中文输入系统输入设备种类支持单一、中文输入引擎效率低、用户体验差等问题,提出一种基于MicroWindows的智能中文输入系统。系统首先在前端的设备输入实现层模块式完成了不同类型的设备消息封装投递,然后在消息处理中心对各种输入设备的投递信息进行集中处理,通过统一分发处理的方式编码为输入法处理的消息类型,最后结合改进N元文法模型与用户模型实现中文输入引擎。MIPS等硬件平台的实际应用结果表明,该系统运行状态良好,汉字输入流畅快捷,比以往的中文输入方式提高了35%的输入效率。

关键词: N元文法模型, MicroWindows, 多设备支持, 中文输入法

Abstract: The existing embedded Chinese input systems are restricted by problems such as single type of input device, low inefficiency and poor user experience. To solve these problems, this paper put forward a MicroWindows-based intelligent Chinese input system. First messages from different types of device were packed and delivered in the device input layer. Then the delivered messages were centrally treated by uniformly encoding and distributing in the message processing center. Finally the improved N-gram model and user model were combined to implement Chinese input method. The experiments in Microprocessor without Interlocked Piped Stages (MIPS) and other platform show that this system runs well with fluent and fast Chinese input. The efficiency of input is raised by 35% compared with traditional Chinese input.

Key words: N-gram, MicroWindows, multiple device support, Chinese input method

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