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<Paper uid="W99-0702">
  <Title>Experiments in Unsupervised Entropy-Based Corpus Segmentation</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> The paper presents an entropy-based approach to segment a corpus into words, when no additional information about the corpus or the language, and no other resources such as a lexicon or grammar are available. To segment the corpus, the algorithm searches for separators, without knowing a priory by which symbols they are constituted. Good results can be obtained with corpora containing &amp;quot;clearly perceptible&amp;quot; separators such as blank or new-line.</Paragraph>
  </Section>
class="xml-element"></Paper>