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<Paper uid="J79-1021">
  <Title>RECENT COMPUTER SCIENCE RESEARCH IN NATURAL LANGUAGE PROCESSING</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1, INTRODUCTION
</SectionTitle>
    <Paragraph position="0"> The computer literature discussed in this paper uses several linguistic terms in special ways, when there is a possibility sf congusion, quotation marks will be used to identify technical terms in computer science. The term &amp;quot;understanding&amp;quot; is frequently used as a synonym for &amp;quot;the addition of logical relationships or semantics to syntactic processing&amp;quot;. This use is substantially qarrower than the word's implicit association with &amp;quot;human behavior implemented by computer'' the narrower use is introduced as a neutral reference point, The question of whether a computer porgram can operate in a human-like way is central to artificial intelligence. &amp;quot;Do current 'understanding' program systems show how extended human-like capability can be implemented using computers?&amp;quot; is a related pragmatic questton Initially this investigation sought to examine whether programs which &amp;quot;understand&amp;quot; language in the stipulated narrow sense are protatypes which could lead to expanded capability. Unfortunately, &amp;quot;language understanding&amp;quot; and its special subtopic &amp;quot;speeeh understanding'' are insufficiently developed to permit profitable discussion of the original question Hence an operational approach to the recent literature is taken here. This paper outlines how &amp;quot;language understanding&amp;quot; research has evolved and identifies key elements of program organization used to achieve limited computer &amp;quot;understanding&amp;quot;.</Paragraph>
  </Section>
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