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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher">setsci</journal-id>
   <journal-title-group>
    <journal-title>Setsci conference indexing system</journal-title>
   </journal-title-group>
   <issn>2618-6446</issn>
   <publisher>
    <publisher-name>SET Technology</publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">45c80b01-66b3-499f-b4be-d9068f46dcd3</article-id>
   <title-group>
    <article-title>Morphological Analyses of Turkish Sign Language and Turkish Course Contents</article-title>
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" corresp="yes">
     <name>
      <surname>Karaca</surname>
      <given-names>Mehmet Fatih</given-names>
     </name>
     <xref ref-type="aff" rid="aff1"/>
    </contrib>
    <contrib contrib-type="author">
     <name>
      <surname>Bayır</surname>
      <given-names>Şafak</given-names>
     </name>
     <xref ref-type="aff" rid="aff2"/>
    </contrib>
   </contrib-group>
   <aff id="aff1">
    <institution>Department of Computer Technologies, Gaziosmanpaşa University</institution>
   </aff>
   <aff id="aff2">
    <institution>Department of Computer Engineering, Karabük University</institution>
   </aff>
   <pub-date date-type="pub">
    <day>23</day>
    <month>06</month>
    <year>2018</year>
   </pub-date>
   <volume>2</volume>
   <fpage>224</fpage>
   <lpage>224</lpage>
   <permissions>
    <copyright-statement>© 2018 SET Technology</copyright-statement>
    <copyright-year>2018</copyright-year>
    <copyright-holder>SET Technology</copyright-holder>
    <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
     <license-p>CC BY 4.0</license-p>
    </license>
   </permissions>
   <abstract>
    <p>When the weekly course syllabus of Hearing-Impaired Primary School is taken into consideration, it is seen that Turkish Sign Language (TSL) and Turkish courses are included in must courses. TSL course is 2 hours a week, whereas Turkish course is 10 hours a week.&#13;
&#13;
In this study, 2 separate corpora consist of the sentences of TSL and Turkish courses contents were used. Corpus 1 was constructed for TSL course and Corpus 2 for Turkish course. 130 sentences were included in Corpus 1, whereas 100 sentences were included in Corpus 2.&#13;
&#13;
Morphology, which examines roots, stems, words and their types and also their affixes, is one of the most profound and important&#13;
fields of grammar. Zemberek, which is a system for Natural Language Processing of Turkish languages, was used for the morphological analyses of the words. Results were displayed after the morphological analysis process was finished and they&#13;
were presented separately considering corpora.&#13;
&#13;
Results related to Corpus 1 were as follows: the average word number in a sentence is 3.29, words have generally 1 analysis result, without affixes, belong to noun class, have 5 letters and 2 syllables, and syllables have 2 letters. On the other hand, results related to Corpus 2 were as follows: the average word number in a sentence is 3.16, words have generally 1 analysis result, without affixes, belong to noun class, have 3 letters and 2 syllables, and syllables have 2 letters. As a result, it can be said that TSL and Turkish courses contents display similarities.  </p>
   </abstract>
   <kwd-group xml:lang="en">
    <kwd>Turkish Sign Language, Turkish, grammar, natural language processing, morphology, hearing-impaired</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Turkish Sign Language, Turkish, grammar, natural language processing, morphology, hearing-impaired</kwd>
   </kwd-group>
  </article-meta>
 </front>
</article>
