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          <dc:title>Investigating the Possibilities of Using SMT for Text Annotation</dc:title>
          <dc:creator>Laki, László</dc:creator>
          <dc:subject>SMT</dc:subject>
          <dc:subject>POS-tagging</dc:subject>
          <dc:subject>Lemmatization</dc:subject>
          <dc:subject>Target language set</dc:subject>
          <dc:subject>OOV</dc:subject>
          <dc:description>In this paper I examine the applicability of SMT methodology for part-of-speech disambiguation and lemmatization in Hungarian. After the baseline system was created, different methods and possibilities were used to improve the efficiency of the system. I also applied some methods to decrease the size of the target dictionary and to find a proper solution to handle out-of-vocabulary words. The results show that such a light-weight system performs comparable results to other state-of-the-art systems.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>László Laki</dc:contributor>
          <dc:date>2012</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 21, 1st Symposium on Languages, Applications and Technologies (2012)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.SLATE.2012.267</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-35285</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2012.267</dc:identifier>
          <dc:language>eng</dc:language>
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