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<Paper uid="C94-2147">
  <Title>Table-driven Neural Syntactic Analysis of Spoken Korean</Title>
  <Section position="6" start_page="914" end_page="914" type="concl">
    <SectionTitle>
6. Conclusions and future works
</SectionTitle>
    <Paragraph position="0"> In this paper we have developed a CYK-table-driven interactive relaxation parsing method (CCYK parsing) of spoken Korean, integrated with the CYK-based morphological analysis.</Paragraph>
    <Paragraph position="1"> We have shown that the partially free word order and the postpositions are easily and naturally encoded by the Extended Categorial Grammar. The use of Categorial Grammar with the interactive relaxation parsing results in a lexical-based, locally distributed and island-driven parsing. A node generates hypotheses if it gathers enough bottom-up activation (evidence) and each hypothesis locally searches for constituents, l)ecay with penalty removes failed and incorrect hypotheses.</Paragraph>
    <Paragraph position="2"> The use of the phoneme lattice and the morpheme lattice removes the redundancy in postprocessing and parsing of spoken Korean, and makes the whole interactions among the phonemes and morphemes possible. The activation value of parses gives a clue to the selection of the best parse. The statistical information between senses of morphemes can make the selection more reliable. As noted in (Howells 1988), changing the system parameters gives the flexibility of retaining the alternatives. We can have all the parses in one setting and can have only the best parse on the another setting depending on the application. We plan to add the unification ability for semantic analysis to our work, and finally develop a connectionist parsing method for the full Categorial Unification Grammar.</Paragraph>
  </Section>
class="xml-element"></Paper>