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<Paper uid="C92-2121">
  <Title>Semantic Network Array Processor as a Massively Parallel Computing Platform for High Performance and Large-Scale Natural Language Processing*</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
Technologies)
</SectionTitle>
    <Paragraph position="0"> natural language processing. As a result of the investigation, we have decided to employ an extended marker-passing model and a dynamically modifiable network. Also, a set of primitive instructions is micro-coded to directly support essential operations in natural language systems.</Paragraph>
    <Paragraph position="1"> Several approach can be taken to use SNAP as a platform for natural language processing systems. We can fully implement NLP system on SNAP, or we can speed up existing systems by implementing computationally expensive part on SNAP. We have hnplemented some of these approaches on SNAP, mid obtained extremely high performance (order of milliseconds for given tasks).</Paragraph>
    <Paragraph position="2"> In this paper, we describe the design philosophy and architecture of SNAP, and present several approaches toward high performance natural language processing systems on SNAP.</Paragraph>
  </Section>
class="xml-element"></Paper>