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<Paper uid="C88-2085">
  <Title>ERROR DIAGNOSING AND SELECTION IN A, TRAINING SYSTEM FOR SECOND LANGUAGE LEARNING Wolfgang Menzel Zentralinstitut fur Sprachwissensehaft</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> A diagnosing procedure to be used in intelligent systems for language instruction is presented. Based on a knowledge representation scheme for a certain class of syntactic correctness conditions the system carries out a thorough analysis of possible error hypotheses and their consequences. A comparison with earlier attempts shows a clearly improved precision of diagnostic results. First of all, the procedure concentrate s on an exact localization of rule violations, but if desired - is able to infer information about factual faults as well.</Paragraph>
  </Section>
class="xml-element"></Paper>