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<Paper uid="P87-1004">
  <Title>JETR: A ROBUST MACHINE TRANSLATION SYSTEM</Title>
  <Section position="5" start_page="28" end_page="28" type="concl">
    <SectionTitle>
CONCLUSIONS
</SectionTitle>
    <Paragraph position="0"> This paper has presented a robust expectation-based approach to machine translation which does not view machine translation as a testhod for AI. The paper has shown the need to consider problems unique to machine translation such as preservation of syntacite and semantic information contained in grammatical as well as ungrammatical sentences.</Paragraph>
    <Paragraph position="1"> The integration of the forward expectation-refinement process, the interleaved generation technique and the state-change-based processing has led to the construction of an extensible, flexible and efficient system. Although JETR is designed to translate instruction booklets, the general algorithm used by the analyzer and the generator are applicable to other kinds of text. JETR is written in UCI LISP on a DEC system 20/20. The control structure consists of roughly 5500 lines of code. On the average it takes only 1 CPU second to process a simple sentence.</Paragraph>
    <Paragraph position="2"> JETR has successfully translated published recipes taken from (Ishikawa 1975, Murakami 1978) and an instruction booklet accompanying the Hybrid-H239 watch (Hybrid) in addition to hundreds of test texts.</Paragraph>
    <Paragraph position="3"> Currently the dictionary and the knowledge base are being extended to translate more texts.</Paragraph>
    <Paragraph position="4"> Sample translations produced by JETR are found in the appendix at the end of the paper.</Paragraph>
  </Section>
class="xml-element"></Paper>