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<Paper uid="H01-1070">
  <Title>Towards an Intelligent Multilingual Keyboard System</Title>
  <Section position="3" start_page="22" end_page="22" type="intro">
    <SectionTitle>
1 INTRODUCTION
</SectionTitle>
    <Paragraph position="0"> For Thai users, there are always two annoyances while typing Thai-English bilingual documents, which are usual for Thais.</Paragraph>
    <Paragraph position="1"> The first is when the users want to switch from typing Thai to English, they have to input a special key to tell the operating system to change the language mode. Further, if the language-switching key is ignored, they have to delete the token just typed and re-type that token after language switching. The second is that Thai has more than 100 alphabets, to input about half of all Thai characters, the user has to use combinations of two keys (shift key + another key) to input them. Some of the other Asian users also have the same problem.</Paragraph>
    <Paragraph position="2"> It will be wonderful, if there is a intelligent keyboard system that is able to perform these two tasks -switching language and shifting key- automatically. This paper proposes a practical solution for these disturbances by applying trigram character probabilistic model and error-correction rules. To optimize number of the generated error-correction rules, we propose a rule reduction approach using mutual information.</Paragraph>
    <Paragraph position="3"> More than 99 percent of key prediction accuracy results are reported.</Paragraph>
  </Section>
class="xml-element"></Paper>