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<Paper uid="J92-3004">
  <Title>Technical Correspondence Automatic Clustering of Languages</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
1. Introduction
</SectionTitle>
    <Paragraph position="0"> The purpose of this paper is to show that current mathematics and computer science can offer expertise to various &amp;quot;soft&amp;quot; sciences, e.g., linguistics. Sixty-five languages are automatically grouped into clusters according to the analysis of sixteen common words. The authors regard the results presented in this paper merely as an example of a possible application of cluster analysis to linguistics. The results should not be regarded as conclusive but rather as suggestions to linguists that similar projects can be carried out on a much greater scale, hopefully yielding similar results and better understanding of language families.</Paragraph>
    <Paragraph position="1"> This is by no means the first application of mathematical methods to this problem; see for instance Kruskal, Dyen, and Black (1971) and Sujold~i~ et al. (1987).</Paragraph>
  </Section>
class="xml-element"></Paper>