Studying Human Translation Behavior with User-Activity Data

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Studying Human Translation Behavior with User-Activity Data

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dc.contributor.author Carl, Michael
dc.date.accessioned 2010-04-15
dc.date.accessioned 2010-04-15T11:08:27Z
dc.date.available 2010-04-15T11:08:27Z
dc.date.issued 2010-04-15
dc.identifier.uri http://hdl.handle.net/10398/8044
dc.description.abstract The paper introduces a new research strategy for the investigation of human translation behavior. While conventional cognitive research methods make use of think aloud protocols (TAP), we introduce and investigate User- Activity Data (UAD). UAD consists of the translator’s recorded keystroke and eye-movement behavior, which makes it possible to replay a translation session and to register the subjects’ comments on their own behavior during a retrospective interview. UAD has the advantage of being objective and reproducable, and, in contrast to TAP, does not interfere with the translation process. The paper gives the background of this technique and an example on a English-to-Danish translation. Our goal is to elaborate and investigate cognitively grounded basic translation concepts which are materialized and traceable in the UAD and which, in a later stage, will provide the basis for appropriate and targeted help for the translator at a given moment. en_US
dc.format.extent 10 en_US
dc.language eng en_US
dc.publisher Preprint en_US
dc.title Studying Human Translation Behavior with User-Activity Data en_US
dc.type cp en_US
dc.accessionstatus modt10apr15 liga en_US
dc.contributor.corporation Copenhagen Business School. CBS en_US
dc.contributor.department Institut for Internationale Sprogstudier og Vidensteknologi ( en_US
dc.contributor.departmentshort ISV( en_US
dc.contributor.departmentuk Department of International Language Studies and Computational Linguistics( en_US
dc.contributor.departmentukshort ISV( en_US
dc.idnumber x656526229 en_US
dc.publisher.year 2008 en_US


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