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Translation Relationship Quantification: A Cluster-Based Approach and its Application to Shakespeare’s Sonnets

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 62))

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.

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References

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Correspondence to Fazli Can .

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© 2011 Springer Science+Business Media B.V.

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Can, F., Can, E.F., Karbeyaz, C. (2011). Translation Relationship Quantification: A Cluster-Based Approach and its Application to Shakespeare’s Sonnets. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_24

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  • DOI: https://doi.org/10.1007/978-90-481-9794-1_24

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9793-4

  • Online ISBN: 978-90-481-9794-1

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