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      • Department of Computer Engineering
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      Translation relationship quantification: A cluster-based approach and its application to Shakespeare's sonnets

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      Author
      Can, Fazlı
      Can, Ethem F.
      Karbeyaz, Ceyhun
      Date
      2010
      Source Title
      Computer and Information Sciences
      Publisher
      Springer, Dordrecht
      Volume
      62
      Pages
      117 - 120
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      We introduce a method for quantifying translation relation-ship between source and target texts.In this method, we partition source and target texts into corresponding blocks and cluster them separately using word phrases extracted by a suffx tree approach. We quantify the translation relationship by examining the similarity between source and target clustering structures. In this comparison we aim to observe that their similarity is meaningful, i.e., it is significantly different from random. The method is based on the hypothesis that similarities and dis-similarities among the source blocks will not be lost in translation and reappear among target blocks. For testing we use Shakespeare's sonnets and its translation in Turkish. The results show that our method suc-cessfully quantifies translation relationships. © 2011 Springer Science+Business Media B.V.
      Keywords
      Cluster based approach
      Shakespeare
      Translation relation
      Turkishs
      Information science
      Permalink
      http://hdl.handle.net/11693/28522
      Published Version (Please cite this version)
      https://doi.org/10.1007/978-90-481-9794-1_24
      https://doi.org/10.1007/978-90-481-9794-1
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      • Department of Computer Engineering 1398
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