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<Paper uid="A88-1005">
  <Title>TWO SIMPLE PREDICTION ALGORITHMS TO FACILITATE TEXT PRODUCTION</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
INTRODUCTION
</SectionTitle>
    <Paragraph position="0"> For some years we have been investigating the use of a sizeable sample of a particular individual's language habits in predicting future language use for that individual. The research has taken two directions.</Paragraph>
    <Paragraph position="1"> One of these, the HWYE (Hear What You Expect) system, builds a large language model of the past language history of the individual, with special emphasis on the most frequent words of that person, and the result is used in speech recognition. In studying the language model developed by the HWYE system, several simple predictive schemes were noted which are capable of anticipating, during the generation of a sentence, a small set of words from which the next desired word can be selected. The two schemes described here are used for text generation (not speech recognition) in a format that could be of use to a physically handicapped person; hence the schemes have no right context available.</Paragraph>
    <Paragraph position="2"> One of the schemes does use left context, and the other uses only sentence position as &amp;quot;context'. Both are implemented on IBM-PC systems with minimal memory requirements.</Paragraph>
  </Section>
class="xml-element"></Paper>