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Using deep learning paradigm to improve syllabic versification: A first approach

De la Rosa, Javier; Ros Muñoz


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  <dc:creator>De la Rosa, Javier</dc:creator>
  <dc:creator>Ros Muñoz</dc:creator>
  <dc:date>2019-07-31</dc:date>
  <dc:description>Presented an off-track paper on using modern neural approaches for unsupervised scansion of multi-lingual texts</dc:description>
  <dc:identifier>https://zenodo.org/record/3356266</dc:identifier>
  <dc:identifier>10.5281/zenodo.3356266</dc:identifier>
  <dc:identifier>oai:zenodo.org:3356266</dc:identifier>
  <dc:language>akh</dc:language>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/679528/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3356265</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>scansion</dc:subject>
  <dc:subject>versification</dc:subject>
  <dc:subject>natural language processing</dc:subject>
  <dc:subject>embeddings</dc:subject>
  <dc:title>Using deep learning paradigm to improve syllabic versification: A first approach</dc:title>
  <dc:type>info:eu-repo/semantics/lecture</dc:type>
  <dc:type>presentation</dc:type>
</oai_dc:dc>
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