Translation relationship quantification: A cluster-based approach and its application to Shakespeare's sonnets
Author
Can, Fazlı
Can, Ethem F.
Karbeyaz, Ceyhun
Date
2010Source Title
Computer and Information Sciences
Publisher
Springer, Dordrecht
Volume
62
Pages
117 - 120
Language
English
Type
Conference PaperItem Usage Stats
161
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179
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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.
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http://hdl.handle.net/11693/28522Published Version (Please cite this version)
https://doi.org/10.1007/978-90-481-9794-1_24https://doi.org/10.1007/978-90-481-9794-1