As culture and society has become more digitalized, especially when computer science and digital technologies have entered a new era in the twenty-first century, translation studies began to utilize a wide range of tools to enhance its reading of texts and contexts, without which translation both as a practice and as a theorization could barely persist. It has become more apparent that two extreme poles between macro and micro visions have formed the diversified terrains of translation studies. On the one hand, technologies like NLP, topic modeling, network analysis and data visualization make distant reading become possible, thus allowing us to have a paradigmatic view of how human’s ideas, beliefs, values, knowledge and even emotions have spread in some patterns across cultural, geographical and language divides in world history. On the other hand, corpus methods, such as the use of keywords, collocates and concordance lines changed the way by which texts were closely read from linear to vertical. With microscope like corpus tools, we could go deeper into the texture for perception of nuanced meaning. While considering a fact that translation is seldom mono modal in conveying meaning, we have to reconceptualize context as a multimodal environment where audio, visual and other resources interact to convey and make meaning. With regard to the fast development of digital technology, translation studies take an active role in gaining an enhanced capability in promoting transformation. Complexity has been favored in terms of theoretical framework and methodology. New questions are asked; old ones revisited with novel tools; but more areas wait to be cultivated and more questions to be approached by combining quantitative and qualitative methods. We could ask if digital technologies would bring new innovation to study of translation history, a heavily-walled land for traditional humanists who tend to repeat “so-what” to question the less significance of data-driven studies. The idea of high-quality machine translation has become so realistic in today’s market that translation educators have to face the shock wave it brought to translation learners and practitioners and rethink the relation between human translators and algorithms. Machine-translation-assisted communication could help remove boundaries for better communication; but at the same time, it also creates conflicts and leads to confrontation. Thus understood, it is imperative to give a concerned attention to digital translation studies, that is, to study translation by resorting to and drawing on the digital technologies. This Research Topic is intended to promote current directions and new developments in cross-disciplinary critical discourse research. We welcome papers which, from a critical-analytical perspective, deal with contemporary social, scientific, political, economic, or professional discourses and genres. Papers addressing the highlighted topics are especially welcome. In giving weight to these topics, we wish to call to attention some of the most pressing problems currently facing the world.

Corpora and Language Education critically examines key concepts and issues in corpus linguistics, with a particular focus on the expanding interdisciplinary nature of the field and the role that written and spoken corpora now play in the fields of professional communication, teacher education, translation studies, lexicography, literature, critical discourse analysis, and forensic linguistics. The book also presents a series of corpus-based case studies illustrating central themes and best practices in the field.

Demonstrates the importance of corpus research to applied linguistics, covering a range of areas.

The Routledge Handbook of Corpus Linguistics provides a timely overview of a dynamic and rapidly growing area with a widely applied methodology. Through the electronic analysis of large bodies of text, corpus linguistics demonstrates and supports linguistic statements and assumptions. In recent years it has seen an ever-widening application in a variety of fields: computational linguistics, discourse analysis, forensic linguistics, pragmatics and translation studies. Bringing together experts in the key areas of development and change, the handbook is structured around six themes which take the reader through building and designing a corpus to using a corpus to study literature and translation. A comprehensive introduction covers the historical development of the field and its growing influence and application in other areas. Structured around five headings for ease of reference, each contribution includes further reading sections with three to five key texts highlighted and annotated to facilitate further exploration of the topics. The Routledge Handbook of Corpus Linguistics is the ideal resource for advanced undergraduates and postgraduates.

Articles in this volume discuss the role and effectiveness of corpora and corpus-linguistic techniques for language teaching but also deal with broader issues such as the relationship between corpora and second language teaching and how the different perspectives of foreign language teachers and applied linguists can be reconciled.

This book addresses the research, analysis, and description of the methods and processes that are used in the annotation and processing of language corpora in advanced, semi-advanced, and non-advanced languages. It provides the background information and empirical data needed to understand the nature and depth of problems related to corpus annotation and text processing and shows readers how the linguistic elements found in texts are analyzed and applied to develop language technology systems and devices. As such, it offers valuable insights for researchers, educators, and students of linguistics and language technology.

The exponential growth and development of modern technologies in all sectors has made it increasingly difficult for students, teachers and teacher educators to know which technologies to employ and how best to take advantage of them. The Routledge Handbook of Language Learning and Technology brings together experts in a number of key areas of development and change, and opens the field of language learning by exploring the pedagogical importance of technological innovation. The handbook is structured around six themes: historical and conceptual contexts core issues interactive and collaborative technologies for language learning corpora and data driven learning gaming and language learning purpose designed language learning resources. Led by fundamental concepts, theories and frameworks from language learning and teaching research rather than by specific technologies, this handbook is the essential reference for all students, teachers and researchers of Language Learning and TESOL. Those working in the areas of Applied Linguistics, Education and Media Studies will also find this a valuable book.