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<Paper uid="C96-1011">
  <Title>Unsupervised Learning of a Rule-based Spanish Part of Speech Tagger</Title>
  <Section position="7" start_page="57" end_page="57" type="concl">
    <SectionTitle>
6 Summary
</SectionTitle>
    <Paragraph position="0"> Our Spanish Part of Speech Tagger is a successful implementation and extension of Brill's unsuper: vised learning algorithm that reduces the ambiguity of part-of-speech tags on words in Spanish texts.</Paragraph>
    <Paragraph position="1"> The system requires few, if any, hand-tagged texts to bootstrap itself. Rather, it merely requires a Spanish lexicon and morphological analyzer that can tag words with all their possible parts-of-speech. (liven that the system performs at approximately 92% accuracy even with the aforementioned problems and with the inch&gt; sion of unknown words, we would expect that this system could achieve better results, approaching those of similar English-language POS taggers, when these problems are rectitied.</Paragraph>
  </Section>
class="xml-element"></Paper>