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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.
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