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This edited book covers a range of topics related to the use of corpora in translation education, including their standing in corpus-based translation studies, their relationship with machine learning and post-editing, recent advances in learner corpora development and the integration of corpora into translation pedagogy. The book draws the reader into the latest debate on the potential benefits and challenges of using corpora in translation education, as well as serving as practical guidance on how to incorporate corpora into their teaching practice. The book is of particular interest to translation educators, researchers, and postgraduate students who are interested in exploring theoretical underpinnings as well as new ways of teaching and learning translation.
Eyetracking has become a powerful tool in scientific research and has finally found its way into disciplines such as applied linguistics and translation studies, paving the way for new insights and challenges in these fields. The aim of the first International Conference on Eyetracking and Applied Linguistics (ICEAL) was to bring together researchers who use eyetracking to empirically answer their research questions. It was intended to bridge the gaps between applied linguistics, translation studies, cognitive science and computational linguistics on the one hand and to further encourage innovative research methodologies and data triangulation on the other hand. These challenges are also addressed in this proceedings volume: While the studies described in the volume deal with a wide range of topics, they all agree on eyetracking as an appropriate methodology in empirical research.
Empirical research is carried out in a cyclic way: approaching a research area bottom-up, data lead to interpretations and ideally to the abstraction of laws, on the basis of which a theory can be derived. Deductive research is based on a theory, on the basis of which hypotheses can be formulated and tested against the background of empirical data. Looking at the state-of-the-art in translation studies, either theories as well as models are designed or empirical data are collected and interpreted. However, the final step is still lacking: so far, empirical data has not lead to the formulation of theories or models, whereas existing theories and models have not yet been comprehensively tested...
This volume, which was originally published in Terminology 15:1 (2009), presents and reflects on experiences dealing with terminology training, from a theoretical, practical and professional perspective. Terminology is part of the programmes of several (post)graduate courses, such as Translating and Interpreting, Applied Languages, Information Science and other disciplines. Especially terminology practice has changed drastically over the years and training in terminology must adapt to this new reality. Drawing on years of experience in teaching this subject at various academic levels and in diverse ways, we explore what to teach about terminology, how to teach it, how it is learned, what experiences are put into practice with what result, and how to connect the knowledge taught at universities and other institutions to the practical skills that are required from professionals in different areas, e.g. translators, information scientists, knowledge engineers, with respect to their knowledge of terminology.
This volume provides a comprehensive introduction to the Translation Process Research Database (TPR-DB), which was compiled by the Centre for Research and Innovation in Translation and Technologies (CRITT). The TPR-DB is a unique resource featuring more than 500 hours of recorded translation process data, augmented with over 200 different rich annotations. Twelve chapters describe the diverse research directions this data can support, including the computational, statistical and psycholinguistic modeling of human translation processes. In the first chapters of this book, the reader is introduced to the CRITT TPR-DB. This is followed by two main parts, the first of which focuses on usability issues and details of implementing interactive machine translation. It also discusses the use of external resources and translator-information interaction. The second part addresses the cognitive and statistical modeling of human translation processes, including co-activation at the lexical, syntactic and discourse levels, translation literality, and various annotation schemata for the data.
This volume offers a collection of papers which seek to provide further insights into the way scientific and technical knowledge is communicated (i.e., written, transmitted, and translated) nowadays, not only in the academic sphere but also in society as a whole. Language in science has traditionally been valued for prioritising objective, propositional content; however, interpersonal and pragmatic dimensions as well as translation perspectives are worth exploring in order to better understand the mechanisms of specialised communication. Accordingly, the contributions in this volume cover topics of special interest to scholars and researchers in the fields of linguistics and translation, such as the popularisation and transmission of scientific knowledge via ICTs; terminology and corpus-based studies in scientific discourse; genres and discourse in scientific and technical communication; the history and evolution of scientific language; and translation of scientific texts.
This book offers a systematic and comprehensive account of translation competence (TC), reflecting on its different models and conceptualisations throughout its development and outlining future directions for both theory and practice. The volume charts the evolution of TC in line with related findings in empirical product- and process-oriented research. In critically examining the different models of translation competence, Quinci explores a wide range of connected issues of ongoing debate within Translation Studies, including translation quality, the revision process, and translator self-assessment. The second section of the book investigates these themes at work in the design, conduct, and...
Cognitive aspects of the translation process have become central in Translation and Interpreting Studies in recent years, further establishing the field of Cognitive Translatology. Empirical and interdisciplinary studies investigating translation and interpreting processes promise a hitherto unprecedented predictive and explanatory power. This collection contains such studies which observe behaviour during translation and interpreting. The contributions cover a vast area and investigate behaviour during translation and interpreting – with a focus on training of future professionals, on language processing more generally, on the role of technology in the practice of translation and interpreting, on translation of multimodal media texts, on aspects of ergonomics and usability, on emotions, self-concept and psychological factors, and finally also on revision and post-editing. For the present publication, we selected a number of contributions presented at the Second International Congress on Translation, Interpreting and Cognition hosted by the Tra&Co Lab at the Johannes Gutenberg University of Mainz.
Translation practice and workflows have witnessed significant changes during the last decade. New market demands to handle digital content as well as technological advances are leading this transition. The development and integration of machine translation systems have given post-editing practices a reason to be in the context of professional translation services. Translators may still work from a source text, but more often than not they are presented with already translated text involving different degrees of translation automation. This scenario radically changes the cognitive demands of translation. Technological development has inevitably influenced the translation research agenda as we...
This book assembles fifteen original, interdisciplinary research chapters that explore methodological and conceptual considerations as well as user and usage studies to elucidate the relation between the translation product and translation/post-editing processes. It introduces numerous innovative empirical/data-driven measures as well as novel classification schemes and taxonomies to investigate and quantify the relation between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual translation. The volume addresses questions in the translation of cognates, neologisms, metaphors, and idioms, as well as figura...