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<Paper uid="P84-1022">
  <Title>A PARSING ARCHITECTURE BASED ON DISTRIBUTED MEMORY MACHINES</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
I INTRODUCTION
</SectionTitle>
    <Paragraph position="0"> Recently, interest has focussed on computational architectures employing massively parallel processing lip2\]. Some of these systems have used a distributed form of knowledge representation \[3\]. This type of representation encodes an item of knowledge in terms of the relationships among a collection of elementary processing units, and such assemblages can encode large numbers of items.</Paragraph>
    <Paragraph position="1"> Representational similarity and the ability to generalize are the principal features of such memory systems. The next section defines a distributed memory machine which incorporates some of the computational advantages of distributed representations within a traditional yon Neumann architecture. The rest of the paper explores the properties of such machines as the basis for natural language parsing.</Paragraph>
  </Section>
class="xml-element"></Paper>