Update cookies preferences

E-book: Machine Translation and Foreign Language Learning

  • Format - EPUB+DRM
  • Price: 172,28 €*
  • * the price is final i.e. no additional discount will apply
  • Add to basket
  • Add to Wishlist
  • This ebook is for personal use only. E-Books are non-refundable.

DRM restrictions

  • Copying (copy/paste):

    not allowed

  • Printing:

    not allowed

  • Usage:

    Digital Rights Management (DRM)
    The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.  To read this e-book you have to create Adobe ID More info here. Ebook can be read and downloaded up to 6 devices (single user with the same Adobe ID).

    Required software
    To read this ebook on a mobile device (phone or tablet) you'll need to install this free app: PocketBook Reader (iOS / Android)

    To download and read this eBook on a PC or Mac you need Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

    You can't read this ebook with Amazon Kindle

The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of questionnaires and real-time instant messages (IM). The book is unique because it contains tables, figures, and screenshots of actual real-time IM exchanges. It is innovative in discussing IM translation, a novel form of MT, and demonstrates how the technology offers English foreign language learners, in this case, Chinese college students, communication opportunities while increasing their willingness to communicate. The study provides an interesting insight into IM user profiles, clients, and usages. Smartphone screenshots are the locale of the study whose findings have far-reaching implications for students, language and translation instructors, and curriculum designers.


Introduction.- Literature review.- Methodology.- Findings.- Discussion
and Implications.- Conclusion.- Reference.- Appendix.- Index.
Kizito Tekwa is Canadian. He is a graduate of the School of Translation and Interpretation (STI), University of Ottawa, where he obtained his Ph.D. in Translation Studies in 2018. He has taught at the Official Languages and Bilingualism Institute (University of Ottawa), Graduate Institute of Interpretation and Translation (Shanghai International Studies University), and School of Interpretation and Translation Studies (Guangdong University of Foreign Studies). Currently, he teaches at the School of Foreign Languages (Shenzhen Technology University). He teaches Translation Technology, English Language, and Technical Writing.

 

His research areas include computer-assisted translation (CAT), machine translation, post-editing, localization, and low-resource languages. He has several SSCI publications in top-level journals including Linguistica Antverpiensia, New Series Themes in Translation Studies (LANS TTS), Perspectives, Babel, and Education and Information Technologies. He has also published two textbooksWriting: A Textbook to Improve Essay Writing and Avoid Chinglish and A Technical Writing Coursebook for College Students and several book chapters in various Springer book series.