Positional prediction: consonant cluster prediction text entry method for burmese (myanmar language)

  • Authors:

  • Ye Kyaw Thu

  • Affiliations:

  • Waseda University, Tokyo, Japan

  • Venue:
  • CHI '08 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2008

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Abstract

I am investigating a consonant cluster prediction text entry method for Myanmar language based on positional vowel information. The concept of this method is adapted by inspecting and carefully considering the nature of Myanmar language word formations or hand writing orders. According to the initial user study with our software keyboard prototype, users were able to type at ~41.57 characters per minute with mouse, ~41.84 characters per minute with stylus pen, ~14.76 characters per minute with Logitech dual thumbstick game pad and ~20.52 characters per minute with Nintendo Wii remote controller. These numbers are sure to improve as further refinements on program interface are made. The merits of the proposed predictive text input method is that even first time users can type Myanmar sentences with appropriate typing speed, and that this approach is applicable for various kinds of mobile devices (see Figure.1) and extendable for other similar syllabic languages such as Khmer (language of Cambodia), Nepali (language of Nepal), Thai (language of Thailand) and Hindi (one of the languages of India) etc.