<?xml version="1.0" standalone="yes"?>
<Paper uid="P97-1045">
  <Title>Automatic Extraction of Aspectual Information from a Monolingual Corpus</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper describes an approach to extract the aspectual information of Japanese verb phrases from a monolingual corpus.</Paragraph>
    <Paragraph position="1"> We classify Verbs into six categories by means of the aspectual features which are defined on the basis of the possibility of co-occurrence with aspectual forms and adverbs. A unique category could be identified for 96% of the target verbs. To evaluate the result of the experiment, we examined the meaning of -leiru which is one of the most fundamental aspectual markers in Japanese, and obtained the correct recognition score of 71% for the 200 sentences.</Paragraph>
  </Section>
class="xml-element"></Paper>