Browsing Conference papers (ISV) by Author "Jensen, Kristian T. H."
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Carl, Michael; Kay, Martin; Jensen, Kristian T. H. (Preprint, 2010)[More information][Less information]
Abstract: This paper investigates properties of translation processes, as observed in the translation behaviour of student and professional translators. The translation process can be divided into a gisting, drafting and post-editing phase. We find that student translators have longer gisting phases whereas professional translators have longer post-editing phases. Long-distance revisions, which would typically be expected during post-editing, occur to the same extent during drafting as during post-editing. Further, both groups of translators seem to face the same translation problems. We suggest how those findings might be taken into account in the design of computer assisted translation tools. URI: http://hdl.handle.net/10398/8046 Files in this item: 1
LonDistRevision.pdf (651.7Kb) -
Carl, Michael; Lykke Jakobsen,Arnt; Jensen, Kristian T. H. (, 2009)[More information][Less information]
Abstract: One of the aims of the Eye-to-IT project (FP6 IST 517590) is to integrate keyboard logging and eye-tracking data to study and anticipate the behaviour of human translators. This so-called User-Activity Data (UAD) would make it possible to empirically ground cognitive models and to validate hypotheses of human processing concepts in the data. In order to thoroughly ground a cognitive model of the user in empirical observation, two conditions must be met as a minimum. All UAD data must be fully synchronised so that data relate to a common construct. Secondly, data must be represented in a queryable form so that large volumes of data can be analysed electronically. Two programs have evolved in the Eye-to-IT project: TRANSLOG is designed to register and replay keyboard logging data, while GWM is a tool to record and replay eye-movement data. This paper reports on an attempt to synchronise and integrate the representations of both software components so that sequences of keyboard and eye-movement data can be retrieved and their interaction studied. The outcome of this effort would be the possibility to correlate eye- and keyboard activities of translators (the user model) with properties of the source and target texts and thus to uncover dependencies in the UAD. URI: http://hdl.handle.net/10398/8041 Files in this item: 1
NLPCS09.pdf (481.2Kb)
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