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dc.contributor.authorCan, Fazlıen_US
dc.contributor.authorCan, Ethem F.en_US
dc.contributor.authorKarbeyaz, Ceyhunen_US
dc.date.accessioned2016-02-08T12:22:53Z
dc.date.available2016-02-08T12:22:53Z
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/11693/28522
dc.descriptionConference name: Proceedings of the 25th International Symposium on Computer and Information Sciencesen_US
dc.descriptionDate of Conference: 22nd to 24th September 2010en_US
dc.description.abstractWe 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.en_US
dc.language.isoEnglishen_US
dc.source.titleComputer and Information Sciencesen_US
dc.relation.isversionofhttps://doi.org/10.1007/978-90-481-9794-1_24en_US
dc.relation.isversionofhttps://doi.org/10.1007/978-90-481-9794-1en_US
dc.subjectCluster based approachen_US
dc.subjectShakespeareen_US
dc.subjectTranslation relationen_US
dc.subjectTurkishsen_US
dc.subjectInformation scienceen_US
dc.titleTranslation relationship quantification: A cluster-based approach and its application to Shakespeare's sonnetsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage117en_US
dc.citation.epage120en_US
dc.citation.volumeNumber62en_US
dc.identifier.doi10.1007/978-90-481-9794-1_24en_US
dc.identifier.doi10.1007/978-90-481-9794-1en_US
dc.publisherSpringer, Dordrechten_US


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