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<Paper uid="C88-2153">
  <Title>Machine Tractable Dictionaries as Tools and Resources for Natural Language Processing</Title>
  <Section position="8" start_page="753" end_page="753" type="concl">
    <SectionTitle>
7 Snmma~'y
</SectionTitle>
    <Paragraph position="0"> We do not expect to produce a single lbrmat Ibm wpn~senting Ihe knoa,ledge exti=acmd from LDOCE hecause the three approaches nsc dill'trent sources of knowledge and difli~mnt processes. The ionnats produced by approaches II and BI are notationally the most alike but the k~.;owledge they contain is different. Unlike the othg~s, the fonnat of approach I contains eo..occummee data. The format of II contains tx~x and pragmatic code inlbmlation not present in tim format of approach lIl; but the madertying organisation of tbe knowledge in approach lIl is very systematic, nnlike the equivalent knowledge in approach If. We expeet that the comparison of formals will he very fiuitflfl, as will the coinpafison of underlying approaches to the extraction ol semantic information, and will produce clearer understanding for Ibmre work on transforming MRI)s into MTDs.</Paragraph>
  </Section>
class="xml-element"></Paper>