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<Paper uid="W04-0313">
  <Title>Modeling sentence processing in ACT-R</Title>
  <Section position="5" start_page="300" end_page="300" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> These modeling efforts suggest that very general constraints on information processing can provide a principled account of parsing phenomena, and also brings human sentence parsing in closer contact with models of human working memory in cognitive psychology (Miyake and Shah, 1999).</Paragraph>
    <Paragraph position="1"> There are of course certain potential limitations in the work presented here. Several alternative hypotheses remain to be explored, e.g., the role of competence grammar and its own (possibly theoryinternal) operations on processing; the role of experience (Crocker and Brants, 2000), etc. However, the present research is a necessary first step since it provides a basis for such a comparison.</Paragraph>
    <Paragraph position="2"> Secondly, there are specific assumptions in the model that may be controversial. For example, we assume that entire sentence structures are predicted as goal chunks, and not verb-types (cf. (Konieczny, 2000)). We are conducting further experiments to explore the predictions made by different assumptions. null Finally, we have used toy simulations to explore the ACT-R constraint-interaction space, the task of scaling up such a model to parse essentially any kind of input is necessary, but still in the future. However, we believe that the results presented are suggestive of the way in which a cognitivelyoriented parser could be constructed.</Paragraph>
  </Section>
class="xml-element"></Paper>