This book offers data-based insights into the problems of translation education and their causes in the context of localization and globalization in the era of big data. By examining language services around the globe, illustrating applications of big-data technology and their future development, and describing crowdsourcing and online collaborative translations, speech-to-speech translation and cloud-based translation, it makes readers aware of the important changes taking place in the professional translation market and consequently recognize the insufficiency of translation education and the need for it to be restructured accordingly. Furthermore, the book includes data-based analyses of translation education problems, such as teaching philosophy, curriculum design and faculty development of both undergraduate and postgraduate education in China. More importantly, it proposes solutions that have already been successful in experiments in a number of universities in China for other institutions of higher education to imitate in restructuring translation education. The discussion is of interest for current and future translation policy makers, translation educators, translators and learners.

This book offers data-based insights into the problems of translation education and their causes in the context of localization and globalization in the era of big data. By examining language services around the globe, illustrating applications of big-data technology and their future development, and describing crowdsourcing and online collaborative translations, speech-to-speech translation and cloud-based translation, it makes readers aware of the important changes taking place in the professional translation market and consequently recognize the insufficiency of translation education and the need for it to be restructured accordingly. Furthermore, the book includes data-based analyses of translation education problems, such as teaching philosophy, curriculum design and faculty development of both undergraduate and postgraduate education in China. More importantly, it proposes solutions that have already been successful in experiments in a number of universities in China for other institutions of higher education to imitate in restructuring translation education. The discussion is of interest for current and future translation policy makers, translation educators, translators and learners.

This book offers data-based insights into the problems of translation education and their causes in the context of localization and globalization in the era of big data. By examining language services around the globe, illustrating applications of big-data technology and their future development, and describing crowdsourcing and online collaborative translations, speech-to-speech translation and cloud-based translation, it makes readers aware of the important changes taking place in the professional translation market and consequently recognize the insufficiency of translation education and the need for it to be restructured accordingly. Furthermore, the book includes data-based analyses of translation education problems, such as teaching philosophy, curriculum design and faculty development of both undergraduate and postgraduate education in China. More importantly, it proposes solutions that have already been successful in experiments in a number of universities in China for other institutions of higher education to imitate in restructuring translation education. The discussion is of interest for current and future translation policy makers, translation educators, translators and learners.