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<Paper uid="C90-2074">
  <Title>Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> From the knowledge engineering perspective in artificial intelligence, a natural language process-Jng (NLP) system can be seen as a knowledge-based system in which major concerns are the discovery, acqlfisition and maintenance of knowledge or rules \[2\].</Paragraph>
    <Paragraph position="1"> The main purpose of this paper is to present a method for facilitating the development and maintenance of NLP systems by automating the discovery and acquisition of linguistic rules in the domain of morphology. This method was implemented in a morphological processor called XMAS as a part of the English-Korean machine translation project KSHALT \[4\].</Paragraph>
    <Paragraph position="2"> In Section 2, we give an overview of the XMAS system. Section 3 illustrates the representational formalism. In Section 4, the processes of discovery and acquisition of morphological rules are described. In Section 5, the procedures for morphologicM analysis and synthesis are briefly described and the application results are reported.</Paragraph>
    <Paragraph position="3"> Section 6 concludes this paper by comparing XMAS with other related works and by remarking on further work.</Paragraph>
  </Section>
class="xml-element"></Paper>