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<Paper uid="W97-0405">
  <Title>A Formal Basis for Spoken Language Translation by Analogy</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Since spoken language is characterized by a number of properties that defy interpretation and translation by purely grammar-based techniques, recent interest has turned to analogical (also known as case-based or example-based) approaches. In this framework, the most important step consists of robustly matching the recognized input expression with the stored examples. This paper presents a probabilistic formalization of analogical matching, and describes how this model is applied to speech translation in the framework of translation by analogy.</Paragraph>
  </Section>
class="xml-element"></Paper>