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<Paper uid="P98-1075">
  <Title>Growing Semantic Grammars</Title>
  <Section position="7" start_page="454" end_page="454" type="concl">
    <SectionTitle>
5 Discussion
</SectionTitle>
    <Paragraph position="0"> Although preliminary and limited in scope, these results are encouraging and suggest that grammar development by non-experts through GsG is indeed possible and cost-effective. It can take the non-expert twice as long as the expert to go through a set of sentences, but the main point is that it is possible at all for a user with no background in computer science or linguistics to teach Gso the meaning of new expressions without being aware of the underlying machinery.</Paragraph>
    <Paragraph position="1"> Potential applications of GSG are many, most notably a very fast development of NLU components for a variety of tasks including speech recognition and NL interfaces. Also, the IDIGA environment enhances the usability of any system or application that incorporates it, for the end-users are able to easily &amp;quot;teach the computer&amp;quot; their individual language patterns and preferences.</Paragraph>
    <Paragraph position="2"> Current and future work includes further development of the learning methods and their integration, design of a rule-merging mechanism, comparison of individual vs. collective grammars, distributed grammar development over the World Wide Web, and integration of GSG's run-time stage into the JANUS speech recognition system (Lavie et al. 1997).</Paragraph>
  </Section>
class="xml-element"></Paper>