《CRITT_Carl_2016_Digital Humanities and Empirical Human Translation Process Research》.pdf

Digital Humanities and Empirical Human Translation Process Research Past, Present and Future Perspectives Michael Carl and Gyde Hansen Department of International Language Studies and Computational Linguistics Copenhagen Business School, Dalgas Have 15, 2000 Frederiksberg, Denmark {mc.isv,gh.isv}@cbs.dk Computers are useless. They can only give answers - Pablo Picasso Abstract The paper traces some results from earlier experiments and analyses in the field of human translation process research (TPR). Some of these results – obtained with key-stroke logging and introspection – are corroborated by newer experiments where sophisticated tools like eye-tracking as well as cluster and mapping techniques are used. As more translation process data are available and better analysis tools are developed, we are also able to go beyond cognitive models of human translation processes and develop fine-grained translation process models. The success of TPR in the future will be measured by the insights gained and they will be instrumental for the design of better interfaces for human- computer interaction (HCI) in translation. We anticipate that at least parts of TPR will increasingly turn into an engineering discipline, with many interesting insights for (digital) humanities. Introduction Today computational linguistics is primarily a language According to Wikipedia (as of 26th July 2011) digital engineering discipline, based on empirical research and humanities is the digitalization and analysis of material catered towards findi