New Directions In Machine Translation

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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.

Corpus-based translation studies has become a major paradigm and research methodology and has investigated a wide variety of topics in the last two decades. The contributions to this volume add to the range of corpus-based studies by providing examples of some less explored applications of corpus analysis methods to translation research. They show that the area keeps evolving as it constantly opens up to different frameworks and approaches, from appraisal theory to process-oriented analysis, and encompasses multiple translation settings, including (indirect) literary translation, machine (assisted)-translation and the practical work of professional legal translators. The studies included in the volume also expand the range of application of corpus applications in terms of the tools used to accomplish the research tasks outlined.

This collection features eight interviews with seven senior scholars, whose seminal works involve the application of Systemic Functional Linguistica (SFL) to translation studies have advanced Systemic Functional Translation Studies (SFTS) as a research agenda in its own right, with critical reflections and insights into future directions. The book introduces SFTS as a research field, tracing its development and situating the contributions of the scholars interviewed within this tradition. An international group of researchers working across a diverse range of topics within SFTS are interviewed, including Christian M.I.M. Matthiessen, Erich Steiner, J.R. Martin, Juliane House, Jeremy Munday, Adriana Pagano and Akila Sellami-Baklouti. Taken together, the collection offers a comprehensive account of theoretical and methodological developments in SFTS, with critical overviews of these scholars’ body of work within the research area and reflections on the emerging research that pushes SFTS scholarship into new frontiers. This volume will be of particular interest to scholars in translation studies and Systemic Functional Linguistics, as well as those interested in innovations in linguistic theory.