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<Paper uid="C94-2167">
  <Title>A METHODOLOGY FOR AUTOMATIC TERM RECOGNITION</Title>
  <Section position="4" start_page="1036" end_page="1037" type="metho">
    <SectionTitle>
4 CONCLUI)ING REMARKS
</SectionTitle>
    <Paragraph position="0"> We }lave implemented a computational morphological grammar and lexicon that instanl;iates tile abovementioned 4 level ordered morphology of English cal)at31e of handling both neoclassica.1 con&gt; pmmding and other complex and simple wordforms m a theoreticMly s~tisfactory manner, and fllrthermore demonstrating that application of theoreticMly motivated lingnistic knowledge enhances term recognition. The identification of this new level is an originM contribution to morphological theory and, for the first time, allows neoclassical elements to be integrated in a theoretically satisfactory and elegant way in a model of term and word structure.</Paragraph>
    <Paragraph position="1"> Term formation is only one of tile factors involved in term recognition. Our research has focussed on '~It should he noticed that (compound t) is serving two purposes in this analysis: a) as a strategic value I:o prevent multiple syntactic analyses of a compound and b) to mark an object, as a compounded form. Several features of our grammar are inspired by the simple grammar provided with the EdCam system, however we llave substantially altered and added to ghi-~ featnreset and ruleset.</Paragraph>
    <Paragraph position="2">  morphosyntactie aspects of term formation insofar as these appear to be more tractable than others, which we have also identified in the course of our research.</Paragraph>
    <Paragraph position="3"> Our work has focussed recently on the development of tools for sublanguage linguistic analysis to aid the process of word classification: e.g. to effect inversion of KWIC indexes and to apply techniques of gradual approximation to discover semantic collocations between words (Sekine et.al, 1992a, 1992b). Future work will further investigate the application of such tools to automatic term recognition and will examine how techniques and research results from the various fields given above in section 3 can be applied to other aspects of term formation and thus term recognition.</Paragraph>
  </Section>
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