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<Paper uid="C96-2106">
  <Title>Modularizing Codescriptive Grammars for Efficient Parsing*</Title>
  <Section position="6" start_page="631" end_page="632" type="evalu">
    <SectionTitle>
5 Experimental Results
</SectionTitle>
    <Paragraph position="0"> This section presents experimental results of our compilation method, indicating that the simple SYN/SEM separation does not match the distinction between true and spurious constraints, mostly due to semantic selectional constraints (see Fig. 2). The measurements have been obtained w.r.t.</Paragraph>
    <Paragraph position="1"> a corpus of 56 sentences/turns from 4 dialogsdn the VERBMOBIL corpus.</Paragraph>
    <Paragraph position="2"> The column Syn shows that parsing with syntax only takes 50% of the time of parsing with the complete grammar (SynSem). The number of readings, hypotheses, and chart edges only slightly increase here. The column SemNA shows the results for operating the SEM-parser in non-autonomous mode, that is, simply verilying/falsifying hypotheses fi'om the SYN-parser. The parsing time of the coupled system is slightly higher than that for SYN-parser alone, due to the fact that the SEM-parser can only terminate after the SYN-parser has sent its last hypothesis. Nevertheless, the overall time is still only 50% of the system With the complete gramifiar (a sequential coupling only improves the overall run time for SemNA only by 5-10%). This illustrates that  number of sentences: 56 average ler, gth: 7.6  in 1ran-autonomous mode, SemQA the results tbr SEM-patwer as quasi-autonomous semantic parser. The percentage vahws are relative to SynSem.</Paragraph>
    <Paragraph position="3"> the efficiency of the parallel running system mainly depends on that of the SYN-parser. The colmnn SemQA shows the results for the m.:Mq)arser in quasi-autonomous mode. Since no syntactic eonst, raints are involved in filtering, we expect a considerable increase in processing time and number of hypotheses. In fact, our measurements indicate that syntax (in our grammar) provides most of the genuine constraints.</Paragraph>
    <Paragraph position="4"> These results show that the modularization of the grammar and the distribution of its information lead to a considerable increase ill parsing efficiency, thus ilnproving the comimtational appli(:ability of codescriptive grmnmars.</Paragraph>
  </Section>
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