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<Paper uid="C94-1036">
  <Title>SE(IMENTING A SENTENf,IC/ INTO MOItl)IIEM1,;S USING STNI'ISTIC INFOI{MATION BI,TFWEEN WORI)S</Title>
  <Section position="9" start_page="230" end_page="230" type="concl">
    <SectionTitle>
6 CONCLUSION
</SectionTitle>
    <Paragraph position="0"> This paper shows that this automatic segmenting system MSS is quite efficient for segmentation of non-separated language sentences. MSS do not use any grammatical information to divide input sentences.</Paragraph>
    <Paragraph position="1"> Instead, MSS uses MI l)etween morphenres included in the input sentence to select the best segmentation(s) frorn all the possibilities. According to the results of the experiments, MSS can segment ahnost all the sentences 'correctly'. This is such a remarkable result.</Paragraph>
    <Paragraph position="2"> When it comes to the sentences which are not in the corpus the ratio of selecting the right segmentation as the best answer get a little bit lower, however, the result is considerably good enough.</Paragraph>
    <Paragraph position="3"> The result shows that using Mid between morphemes is a very effective method of selecting 'correct' sentences, aml this means a lot in NLP.</Paragraph>
  </Section>
class="xml-element"></Paper>