Topics In Language Resources For Translation And Localisation

Language Resources (LRs) are sets of language data and descriptions in machine readable form, such as written and spoken language corpora, terminological databases, computational lexica and dictionaries, and linguistic software tools. Over the past few decades, mainly within research environments, LRs have been specifically used to create, optimise or evaluate natural language processing (NLP) and human language technologies (HLT) applications, including translation-related technologies. Gradually the infrastructures and exploitation tools of LRs are being perceived as core resources in the language services industries and in localisation production settings. However, some efforts ought yet to be made to raise further awareness about LRs in general, and LRs for translation and localisation in particular to a wider audience in all corners of the world. Topics in Language Resources for Translation and Localisation sets out to establish the state of the art of this ever expanding field and underscores the usefulness that LRs can potentially have in the process of creating, adapting, managing, standardising and leveraging content for more than one language and culture from various perspectives.

Web localization is a cognitive, textual, communicative and technological process by which interactive web texts are modified to be used by audiences in different sociolinguistic contexts. Translation and Web Localization provides an in-depth and comprehensive overview into this emerging field of study. The book covers the key areas and main theoretical and practical approaches of the subject, rather than a step by step practical guide. Topics covered include the often controversial definition of localization, how the process develops, what constitutes a text in this process, digital genre theory and its implications, and how to conduct research or training in this field. The book concludes with a look into the dynamic nature of web localization and the forces, such as crowdsourcing, that are reshaping web localization and translation as we know it. In light of the deep changes brought by the Internet, Translation and Web Localization is an indispensable book for researchers, postgraduate and advanced undergraduate students of translation studies, as well as practitioners and researchers in related fields such as computational linguistics, applied linguistics, Internet linguistics, digital genre theory and web development.

Provides an overview of a dynamic and rapidly growing area with a widely applied methodology. This handbook covers the historical development of the field and its growing influence and application in other areas. It is suitable for advanced undergraduates and postgraduates.

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 results of an award-winning longitudinal research project which analysed the acquisition and development of TC in a sample group of translation trainees and professional translators. The volume builds on the outcomes of this project to offer practical activities for translator education, informed by theory and empirical research, toward encouraging continued reflection and new directions for translation competence research and practice. This book will be of interest to scholars in Translation Studies, as well as translation trainees and active translation professionals.

Aims at developing an integrative linguistic perspective on talk at work. This book approaches the topic of professional communication from multiple levels, providing critical, valuable insights into the dynamics of creating and maintaining professional relationships at work.

This volume offers a wide array of cutting-edge original research on the implementation of Foreign Language Pedagogy in translator and interpreter training, a still rather unexplored field of research in Translation Studies. It is divided in two distinct sections. The first section focuses on theoretical approaches to this topic. The chapters of this section will offer the reader valuable new knowledge and thoughts on how to update and enrich academic curricula as well as how to make use of cognitive linguistics and to implement a multicultural approach in the demanding domain of translator and interpreter training. The second practical section comprises a series of diverse methods and didactical means of Foreign Language Pedagogy which are creatively adapted to fit in language and translation/interpreting teaching for translation/interpreting trainees, aiming at fostering their translational sub-competences. The volume’s overarching aim is to clearly emphasise that foreign language teaching for translation and interpreting trainees has to be approached and structured differently than conventional language teaching in other academic disciplines. It is useful for scholars and translation/interpreting teachers who want to enrich translator/interpreter training with new interdisciplinary ideas and knowledge which will significantly assist them in enhancing the translation/interpreting competence of their students.

Electronic texts and text analysis tools have opened up a wealth of opportunities to higher education and language service providers, but learning to use these resources continues to pose challenges to scholars and professionals alike. Translation-Driven Corpora aims to introduce readers to corpus tools and methods which may be used in translation research and practice. Each chapter focuses on specific aspects of corpus creation and use. An introduction to corpora and overview of applications of corpus linguistics methodologies to translation studies is followed by a discussion of corpus design and acquisition. Different stages and tools involved in corpus compilation and use are outlined, from corpus encoding and annotation to indexing and data retrieval, and the various methods and techniques that allow end users to make sense of corpus data are described. The volume also offers detailed guidelines for the construction and analysis of multilingual corpora. Corpus creation and use are illustrated through practical examples and case studies, with each chapter outlining a set of tasks aimed at guiding researchers, students and translators to practice some of the methods and use some of the resources discussed. These tasks are meant as hands-on activities to be carried out using the materials and links available in an accompanying DVD. Suggested further readings at the end of each chapter are complemented by an extensive bibliography at the end of the volume. Translation-Driven Corpora is designed for use by teachers and students in the classroom or by researchers and professionals for self-learning. It is an invaluable resource for anyone interested in this fast growing area of scholarly and professional activity.

Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.