This book presents a collection of state-of-the-art work in corpus-based interpreting studies, highlighting international research on the properties of interpreted speech, based on naturalistic interpreting data. Interpreting research has long been hampered by the lack of naturalistic data that would allow researchers to make empirically valid generalizations about interpreting. The researchers who present their work here have played a pioneering role in the compilation of interpreting data and in the exploitation of that data. The collection focuses on both of these aspects, including a detailed overview of interpreting corpora, a collective paper on the way forward in corpus compilation and several studies on interpreted speech in diverse language pairs and interpreter-mediated settings, based on existing corpora.

This is a collection of leading research within corpus-based translation studies (CTS). CTS is now recognized as a major paradigm that has transformed analysis within the discipline of translation studies. It can be defined as the use of corpus linguistic technologies to inform and elucidate the translation process, something that is increasingly accessible through advances in computer technology. The book pulls together a wide range of perspectives from respected authors in the field. All the chapters deal with the implementation of the basic concepts and methodologies, providing the reader with practical tools for their own research. The book addresses key issues in corpus analysis, including online corpora and corpus construction, and covers both translation and interpreting. The authors look at various languages and utilize a variety of approaches, qualitative and quantitative, reflecting the breadth of the field and providing many valuable examples of the methodology at work.

This book focuses on interpretation corpora which is one of the major subjects of research in interpreting studies. It explores key issues such as corpus design and representativeness, as well as aims and challenges of the application of corpus-linguistics principles and methods to interpreting. Interpreting corpora represent a real challenge because of the very nature of the items they are composed of. The oral dimension, the unavoidable stage of transcription and the difficulties in relying on authentic data are only some of the aspects that make the creation of interpreting corpora a complex, challenging and time-consuming activity. The book discusses the theoretical problems and presents the working phases leading to the collection of five different interpreting corpora. The variety of approaches adopted by each research team highlights the fact that aims, interrogation methods and corpus design are intertwined. A survey of the studies carried out so far using these five interpreting corpora identifies data comparability as the core issue of corpus-based interpreting studies.

The book addresses different areas of corpus-based translation studies, including corpus-based study of translation features, translator’s style, norms of translation, translation practice, translator training and interpreting. It begins by tracing the development of corpus-based translation studies and introducing the compilation of different types of corpora for translation research. The use of corpora in different research areas is then discussed in detail, and the implications and limitations of corpus-based translation studies are addressed. Featuring the use of figures, tables, illustrations and case studies, as well as discussion of methodological issues, the book offers a practical guide to corpus-based translation. It will be of interest to postgraduate students and professionals who are interested in translation studies, interpreting studies or computer-aided translation.

This volume represents a collection of theoretical and application-orientated contributions which report advances in corpus-based translation and interpreting studies. The theoretical papers reflect the development of the discipline. The applied studies discuss recent results in different areas such as training, practice and the use of CAT tools

In the course of the last 10 years corpus-based studies of translation have given rise to a sizeable and coherent body of research within Pure and Applied Translation Studies. In view of these developments, it is important to assess the state of the art of Corpus-based Translation Studies and attempt to identify some of the main trends that are likely to characterise its expansion. The aim of this volume is to examine and evaluate the main ideas, methods of analysis, findings, and pedagogical applications of this relatively young and promising field of research. Translator trainees and teachers of translation, professional translators, young researchers, and scholars in Translation Studies will find the principles, the methodology, the discoveries, and the practical applications of corpus-based research useful and inspiring. They are useful in as far as they equip translation practitioners with tools and techniques that can truly improve the quality and efficiency of their work. They are inspiring because they reveal facts of the process and product of translation which are new, consistent, and based on solid empirical foundations.

The contributions in this volume illustrate some noteworthy tendencies in current Corpus-based Translation and Interpreting Studies: the reflection on the state of research on the characteristics of translated language, the extension of descriptive proposals into minority languages, the diversification of applied proposals and the growing importance of corpora for the study of interpreting. Las aportaciones de este volumen representan algunas tendencias destacables en los actuales estudios traductológicos basados en corpus: la reflexión sobre el estado de la investigación en torno a las características de la lengua traducida, la extensión de las propuestas descriptivas a lenguas minoritarias, la diversificación de las propuestas aplicadas y la creciente importancia de los corpus para el estudio de la interpretación.