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<Paper uid="P84-1092">
  <Title>From HOPE en I'ESPERANCE On the Role of Computational Neurolinguistics in Cross-Language Studies I</Title>
  <Section position="8" start_page="454" end_page="454" type="concl">
    <SectionTitle>
5. SUMMARY
</SectionTitle>
    <Paragraph position="0"> Within developing computational neurolinguistic research which assumes that we can define cognitively based simulation models using AI methodologies which are incorporated with neural processing paradigms, we have demonstrated how one can begin to study universals of language in a new perspective.</Paragraph>
    <Paragraph position="1"> The CN paradigm for natural language processing includes claims that new perspectives on linguistically interpretable hierarchical representations that arise in language behavior are introduced by including neurally motivated processing control as the focus of model definition and by including behaviorially defined constraints, both normal and pathological.</Paragraph>
    <Paragraph position="2"> The issues are not whether human brains work in a universal fashion, but instead raise questions of how interpreted levels of representation, which functionally produce similar language behavior need to be represented for different languages. This processing approach includes many assumptions which are important to linguistic theory. Furthermore, it provides a way of developing specific, verifiable questions about behavior which are mathematically better defined than through other methods, because it enables one to develop a broader perspective of the questions within an analysis of the hypothesis in the context of a characterization of the &amp;quot;how&amp;quot; of the entire behavior.</Paragraph>
    <Paragraph position="3"> By adapting HOPE for processing French, we furthermore claim that new perspectives on language universals are demonstrated. And finally, we feel that CN provides the only suitable way to begin developing a comprehensive understanding of a behavior as complex as language.</Paragraph>
  </Section>
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