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Mapping Crowdsourcing Translation in China - Jun Yang

Mapping Crowdsourcing Translation in China

A Multidimensional Assessment of Yeeyan

(Autor)

Buch | Hardcover
224 Seiten
2024
Routledge (Verlag)
978-1-032-47335-2 (ISBN)
CHF 235,65 inkl. MwSt
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Yang examines the use of crowdsourcing for translation in the Chinese context, focusing on Yeeyan, which is the largest translation community in China. 
Yang explores the use of crowdsourcing in translation within the Chinese context, focusing on Yeeyan – the largest online translation community in China. As one of the world’s largest markets for language content consumption, China experiences significant demand for translation services. Yeeyan, a pioneer among amateur translation communities in China, offers an autonomous environment where the public collectively determines the content they wish to import from foreign languages.

The book conducts a holistic evaluation of crowdsourcing translation using a multidimensional analytical framework, emphasising the interrelations among agents, processes, products, and crowdsourcing environments. Using the Yeeyan community as a case study, the book investigates the motivations behind participation in Yeeyan, the quality of translations produced, the extent to which this quality can be controlled, and how learning occurs through their participation. The analysis includes the two primary types of projects facilitated by Yeeyan – article translation for knowledge-sharing and book translation for commercial publication. Additionally, Yang explores the emerging field of crisis translation - assessing the applications of crowdsourcing in disaster contexts and exploring the ethical implications involved. Drawing on empirically informed results, the book proposes recommendations for the effective design and organisation of crowdsourcing translation projects and elucidates how such initiatives can be optimally utilised in both translation production and translation training endeavours.

This book is a valuable contribution to the field of translation studies, offering a detailed examination of crowdsourcing translations and the participatory culture of the Chinese internet.

Jun Yang is a Lecturer in the Department of Literature, Media and Language at Swansea University, United Kingdom. She is the Postgraduate Research Lead for Modern Languages, Translation, and Interpreting. Her research interests span a variety of areas within translation studies, including crowdsourcing translation, online collaborative translation, translation communities, non-professional translation, translation technologies, and audiovisual translation. She has published articles on the topic of ‘translaboration’. Following her extensive research into crowdsourcing translation, she is now expanding her research scope. Her recent research focuses on the interaction between translation and new media, particularly the organisation, consumption, and cultural impact of fan translation. Jun also teaches English–Chinese translation, translation technologies, and audiovisual translation.

1 Introduction

2. Crowdsourcing and crowdsourcing translation

3. A multidimensional study of crowdsourcing translation

4. Motivations and participation

5. Organisational mechanisms: Workflow and the learning dimension

6. Peer communication and collaboration

7. Translation quality and quality control

8. Crowdsourcing in crisis translation

9. Concluding remarks

Appendix 1

Appendix 2

Erscheinungsdatum
Reihe/Serie Routledge Advances in Translation and Interpreting Studies
Zusatzinfo 26 Line drawings, black and white; 26 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 500 g
Themenwelt Geisteswissenschaften Sprach- / Literaturwissenschaft Anglistik / Amerikanistik
Geisteswissenschaften Sprach- / Literaturwissenschaft Literaturwissenschaft
Geisteswissenschaften Sprach- / Literaturwissenschaft Sprachwissenschaft
Sozialwissenschaften Soziologie Spezielle Soziologien
ISBN-10 1-032-47335-5 / 1032473355
ISBN-13 978-1-032-47335-2 / 9781032473352
Zustand Neuware
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