Muutke küpsiste eelistusi

E-raamat: Machine Translation and Foreign Language Learning

  • Formaat - PDF+DRM
  • Hind: 172,28 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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.