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Empirical modelling of translation and interpreting
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...
New Approaches to Contrastive Linguistics
The practice of comparing languages has a long tradition characterized by a cyclic pattern of interest. Its meeting with corpus linguistics in the 1990s has led to a new sub-discipline of corpus-based contrastive studies. The present volume tackles two main challenges that had not yet been fully addressed in the literature, namely an empirical assessment of the nature of the data commonly used in cross-linguistic studies (e.g. translation data versus comparable data), and the development of advanced methods and statistical techniques suitably adapted to contrastive research settings. The papers collected in this volume endeavour to find out what (new) types of data are most useful for what k...
Translation Competence
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...
Eyetracking and Applied Linguistics
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.
Translation in Transition
Extraordinary advances in machine translation over the last three quarters of a century have profoundly affected many aspects of the translation profession. The widespread integration of adaptive “artificially intelligent” technologies has radically changed the way many translators think and work. In turn, groundbreaking empirical research has yielded new perspectives on the cognitive basis of the human translation process. Translation is in the throes of radical transition on both professional and academic levels. The game-changing introduction of neural machine translation engines almost a decade ago accelerated these transitions. This volume takes stock of the depth and breadth of resulting developments, highlighting the emerging rivalry of human and machine intelligence. The gathering and analysis of big data is a common thread that has given access to new insights in widely divergent areas, from literary translation to movie subtitling to consecutive interpreting to development of flexible and powerful new cognitive models of translation.
Translation, interpreting, cognition
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.
Problem solving activities in post-editing and translation from scratch
Companies and organisations are increasingly using machine translation to improve efficiency and cost-effectiveness, and then edit the machine translated output to create a fluent text that adheres to given text conventions. This procedure is known as post-editing. Translation and post-editing can often be categorised as problem-solving activities. When the translation of a source text unit is not immediately obvious to the translator, or in other words, if there is a hurdle between the source item and the target item, the translation process can be considered problematic. Conversely, if there is no hurdle between the source and target texts, the translation process can be considered a task-...
Legal Machine Translation Explained
Machine translation (MT) has made huge strides in the last few decades. In the legal field, however, there are only a few academic works dedicated to exploring how MT can be successfully applied in legal translation practice. There is currently a gap in the literature that concerns studies on the automated translation of legal documents drawn up by international law firms and/or tackled by legal translators. This book bridges this gap by providing an in-depth analysis of MT in legal practice. It explores whether, and to what extent, MT can be considered reliable, or at least acceptable, in the legal field and in legal practice. It investigates whether MT target texts can be used as drafts to be processed further (i.e., post-edited), how we might tackle MT’s shortcomings, and how MT tools could be supplemented with other language resources.
Emerging Fields in Easy Language and Accessible Communication Research
This volume presents current research and practices in the field of Easy Language and accessible communication. The publication of this volume was inspired by two international events, namely the International Easy Language Day Conference (IELD), and the panel The Social Role of Language: Translation into Easy and Plain Languages at the IATIS conference. By bringing together findings from different corpus-driven, cognitive and automation approaches in accessible communication research and providing insights into current projects of the emerging field of accessible health communication, the volume captures the dynamic and rapidly evolving nature of the field.
