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  <identifier identifierType="DOI">10.18453/rosdok_id00004241</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Müller, Caroline</creatorName>
      <givenName>Caroline</givenName>
      <familyName>Müller</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1287077161</nameIdentifier>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">https://orcid.org/0000-0002-8591-7859</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Linking historical dictionary data with its sources</title>
  </titles>
  <publisher>Universidad Nacional de Educación a Distancia Madrid</publisher>
  <publicationYear>2022</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">004 Data processing Computer sciences</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">400 Language, Linguistics</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">460 Spanish &amp; Portugese languages</subject>
  </subjects>
  <dates>
    <date dateType="Created">2022</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00004241</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00004241-9</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">This master’s thesis describes the development of a tool for the semi-automatic markup of lexical attestations in TEI encoded texts. The attestations belong to the database Diccionario del Español Medieval electrónico (DEMel) and consist of word forms that were excerpted from medieval Spanish texts. The aim is to link the attestations from the database with their source texts by annotation. As some of the information, required for the tagging, is derived from digitized handwritten paper slips, none of the existing tools is suitable.</description>
  </descriptions>
</resource>
