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<Paper uid="P98-2196">
  <Title>Planning tutorial text in a system for teach-</Title>
  <Section position="9" start_page="1202" end_page="1202" type="concl">
    <SectionTitle>
6 Conclusions and Future Work
</SectionTitle>
    <Paragraph position="0"> Future work will include extending the grammar to better deal with coordination and adjunct clauses. We will also continue to work on the negation operator and the propagation of the missing feature discussed above. In order to cut down on the number of parses, as well as to make it easier to decide which is the appropriate parse to correct, we have recently switched to a best-first parsing strategy. This should allow us to model which rules are most likely to be used by a given user, with the mal-rules corresponding to the constructions currently being acquired having a higher probability than those that the learner has already mastered. However, at the moment we have simply lowered the probabilities of all mal-rules, so that any grammatical parses are generated first, followed by the &amp;quot;ungrammatical&amp;quot; parses.</Paragraph>
    <Paragraph position="1"> As we have shown, this system does a good job of flagging ungrammatical sentences produced by the target population, with a high proportion of the flagged sentences containing significant information about the type and location of the error. Our continuing work will hopefully improve these percentages, and couple this recognition component with an intelligent tutoring phase.</Paragraph>
  </Section>
class="xml-element"></Paper>
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