This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Future and Emergent Trends in Language Technology, FETLT 2015, held in Seville, Spain, in November 2015. The 10 full papers presented together with 3 position papers and 7 invited keynote abstracts were selected from numerous submissions. The structure of the Workshop will feature a significant number of experts in language technologies and convergent areas. One objective will be the organization of forum sessions in order to review some of the current-trend research projects that are already addressing new methodological approaches and proposing solutions and innovative applications. A second major objective will be brainstorming sessions where representatives of the most innovative industrial sector in this area can present and describe the challenges and socio-economic needs of the present and immediate future. All researchers are invited to submit proposals that incorporate solid research and innovation ideas in the field of language technology and in connection with other convergent areas.

This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions. In 2016 the conference focused on Machine Learning and Big Data.

The pace at which technology changes has created unique challenges in the integration of such technologies into language teaching and learning. Innovative pedagogies and strategies must be developed that adapt to these changes and accommodate future technological changes. Recent Developments in Technology-Enhanced and Computer-Assisted Language Learning is an essential research publication that focuses on technological influences on language education and applications of technology in language learning courses including foreign and second language learning. Featuring an array of topics such as artificial intelligence, teacher preparation, and distance learning, this book is ideal for teachers, language instructors, IT specialists, instructional designers, curriculum developers, researchers, education professionals, academicians, administrators, practitioners, and students.

***BUSINESS BOOK AWARDS - FINALIST 2021*** Discover how 25 powerful technology trends are transforming 21st century businesses How will the latest technologies transform your business? Future Tech Trends in Practice will give you the knowledge of today’s most important technology trends, and how to take full advantage of them to grow your business. The book presents25 real-world technology trends along with their potential contributions to organisational success. You’ll learn how to integrate existing advancements and plan for those that are on the way. In this book, best-selling author, strategic business advisor, and respected futurist Bernard Marr explains the role of technology in providing innovative businesses solutions for companies of varying sizes and across different industries. He covers wide-ranging trends and provides an overview of how companies are using these new and emerging technologies in practice. You, too, can prepare your company for the potential and power of trending technology by examining these and other areas of innovation described in Future Tech Trends in Practice: Artificial intelligence, including machine and deep learning The Internet of Things and the rise of smart devices Self-driving cars and autonomous drones 3D printing and additive manufacturing Blockchain technology Genomics and gene editing Augmented, virtual and mixed reality When you understand the technology trends that are driving success, now and into the future, you’ll be better positioned to address and solve problems within your organisation.

This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearable, and social robots. The book consists of four parts. Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers. Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools. Part III looks at interactions with smart devices, wearables, and robots, and discusses the role of emotion and personality in the conversational interface. Part IV examines methods for evaluating conversational interfaces and discusses future directions.

Innovation and Future Trends in Food Manufacturing and Supply Chain Technologies focuses on emerging and future trends in food manufacturing and supply chain technologies, examining the drivers of change and innovation in the food industry and the current and future ways of addressing issues such as energy reduction and rising costs in food manufacture. Part One looks at innovation in the food supply chain, while Part Two covers emerging technologies in food processing and packaging. Subsequent sections explore innovative food preservation technologies in themed chapters and sustainability and future research needs in food manufacturing. - Addresses issues such as energy reduction and rising costs in food manufacture - Assesses current supply chain technologies and the emerging advancements in the field, including key chapters on food processing technologies - Covers the complete food manufacturing scale, compiling significant research from academics and important industrial figures

Current Issues in Language Evaluation, Assessment and Testing: Research and Practice is a collection of research papers, most of which were presented at the 17th World Congress of the International Association of Applied Linguistics (AILA), which was held in 2014 in Brisbane, Australia. The volume comprises 15 chapters presenting current research projects and discussing issues related to language testing and the development of language assessment instruments in a variety of contexts around the world. This anthology will be of use to both new and seasoned researchers within the field of Applied Linguistics and TESOL. Teacher educators, language teachers, and language assessment professionals will find this volume equally useful as the papers present current trends in testing and evaluation.

Developments in computer technologies and telecommunications make e-learning a natural evolution and extension of traditional lecture driven style learning. E-learning technologies can extend course content with multimedia systems, active learning opportunities and instructional technology to facilitate education in all areas of study to a broad range of learners. E-learning allows for the creation of learning communities that overcome the constraints of time, distance, and boundaries. This book covers a wide range of interesting e-learning topics. The first four chapters cover the background, evolution, new technologies, and the 2nd generation of e-learning in the 21st century. Chapters 5 and 6 cover the advancement in e-learning tools. The rest of the book covers a wide range of modern applications of e-learning in several important areas such as: medical related applications (Chapters 7, 8, and 9), social networks (Chapters 10 and 11), culture impact on e-learning (Chapters 12, 13, and 14) and traffic related issues (Chapter 15).

Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems.

Unlike other professions, the impact of information and communication technology on interpreting has been moderate so far. However, recent advances in the areas of remote, computer-assisted, and, most recently, machine interpreting, are gaining the interest of both researchers and practitioners. This volume aims at exploring key issues, approaches and challenges to the interplay of interpreting and technology, an area that is still underrepresented in the field of Interpreting Studies. The contributions to this volume cover topics in the area of computer-assisted and remote interpreting, both in the conference as well as in the court setting, and report on experimental studies.