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<Paper uid="C90-3032">
  <Title>SYNTACTIC NORMALIZATION OF SPONTANEOUS SPEECH*</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
RESULTS, CONCLUSIONS, FURTHER TASKS
</SectionTitle>
    <Paragraph position="0"> The normalization strategies outlined in this paper make a /given standard parsing system applicable to certain language phenomena that occur frequently in spontaneous speech, but deviate from the standards of written language. Additional rules, special grammar formalisms or fixed parsing algorithms are not required. null If the parse succeeds, the analysis assigned to a deviating input is not only some partial structure description, but a well-formed sentence including its complete syntactic structure.</Paragraph>
    <Paragraph position="1"> Preliminary tests have shown that the normalizations achieved by the strategies discussed in this paper are plausible default interpretations in most cases. Bad normalizations result from the lack of phonological, semantic and world knowledge. A typical example is 'Take a red block oh no blue block' which gets incorrectly normalized into 'Take a red blue block', if the grarnmar accepts 'block' being specified by two different color adjectives. If it does not, trying the next alternative according to the explicit-repair strategy described above will yield the most plausible result 'Take a blue block'. Another way to avoid the wrong normalization is to consult additional phonological infomlation about the input string. It is very probable that there is a contrastive stress upon 'blue' in the input utterance. Let us assume the rule: if there is a word with contrastive stress in a reparans sequence then there must be a suitable word in the reparandmn sequence to which it is in contrast. This implies that 'red' must be part of the reparandum (and thus has to be deleted) and rules out the wrong normalization 'Take the red blue block'. A further task will be to find out how additional semantic and phonological intormation both in the grammar and in the normalization strategies can be used to make the normalization results more reliable.</Paragraph>
  </Section>
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