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dc.contributor.advisorÇiçekli, İlyasen_US
dc.contributor.authorOrhan, Zeynepen_US
dc.date.accessioned2016-01-08T20:15:43Z
dc.date.available2016-01-08T20:15:43Z
dc.date.issued1998
dc.identifier.urihttp://hdl.handle.net/11693/18044
dc.descriptionAnkara : Department of Computer Engineering and Information Science and the Institute of Engineering and Science of Bilkent University, 1998.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1998.en_US
dc.descriptionIncludes bibliographical references leaves 53-61en_US
dc.description.abstractTTL {Translation Template Learner) algorithm learns lexical level correspondences between two translation examples by using analogical reasoning. The sentences used as translation examples have similar and different parts in the source language which must correspond to the similar and different parts in the target language. Therefore, these correspondences are learned as translation templates. The learned translation templates are used in the translation of other sentences. However, we need to assign confidence factors to these translation templates to order translation results with respect to previously assigned confidence factors. This thesis proposes a method for assigning confidence factors to translation templates learned by the TTL algorithm. In this process, each template is assigned a confidence factor according to the statistical information obtained from training data. Furthermore, some template combinations are also assigned confidence factors in order to eliminate certain combinations resulting bad translation.en_US
dc.description.statementofresponsibilityOrhan, Zeynepen_US
dc.format.extentx, 94 leavesen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.lccP308 .O74 1998en_US
dc.subject.lcshMachine translation.en_US
dc.titleConfidence factor assignment to translation templatesen_US
dc.typeThesisen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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