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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.
Neural Machine Translation
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
European Language Equality
This open access book presents a comprehensive collection of the European Language Equality (ELE) project’s results, its strategic agenda and roadmap with key recommendations to the European Union on how to achieve digital language equality in Europe by 2030. The fabric of the EU linguistic landscape comprises 24 official languages and over 60 regional and minority languages. However, language barriers still hamper communication and the free flow of information. Multilingualism is a key cultural cornerstone of Europe, signifying what it means to be and to feel European. Various studies and resolutions have found a striking imbalance in the support of Europe’s languages through technologi...
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...
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...
Inclusion, Diversity and Innovation in Translation Education
Through examples of literary and audiovisual translation teaching practices, Inclusion, Diversity and Innovation in Translation Education places a novel emphasis on equality, diversity and inclusion (EDI) synergising the latest research advancements in EDI and translation curricula. The contributors revisit how languages and translation are currently taught and explore the relevance of EDI values from an interdisciplinary perspective. The chapters contain proposals of best teaching practices and teacher training guidance alongside examples of research-led teaching scenarios. There is a twofold rationale behind this volume: firstly, identifying links between literary and audiovisual translati...
Machine translation for everyone: Empowering users in the age of artificial intelligence
Language learning and translation have always been complementary pillars of multilingualism in the European Union. Both have been affected by the increasing availability of machine translation (MT): language learners now make use of free online MT to help them both understand and produce texts in a second language, but there are fears that uninformed use of the technology could undermine effective language learning. At the same time, MT is promoted as a technology that will change the face of professional translation, but the technical opacity of contemporary approaches, and the legal and ethical issues they raise, can make the participation of human translators in contemporary MT workflows ...
The Social Impact of Automating Translation
This collection critically examines the practical impacts of machine translation (MT) through the lens of an ethics of care. It addresses the ideological issues in MT development linked to social hierarchies and explores the transformative potential of care ethics for more equitable technological progress. The volume explores the ideological constructs behind MT as a labor-saving technology, how these constructs are embedded in both its development and social reception, and how they manifest in biased outputs. The chapters cover the cultural roots of translation automation, its legal and political implications, and the needs of various stakeholders. These stakeholders include lay users, Indi...
Machine Translation: From Real Users to Research
The previous conference in this series (AMTA 2002) took up the theme “From Research to Real Users”, and sought to explore why recent research on data-driven machine translation didn’t seem to be moving to the marketplace. As it turned out, the ?rst commercial products of the data-driven research movement were just over the horizon, andintheinterveningtwoyearstheyhavebeguntoappearinthemarketplace. Atthesame time,rule-basedmachinetranslationsystemsareintroducingdata-driventechniquesinto the mix in their products. Machine translation as a software application has a 50-year history. There are an increasing number of exciting deployments of MT, many of which will be exhibited and discussed ...
