Crowdsourcing Translation

An Experience of a Cloud-based Messaging App

Authors

  • Razieh Azari 📧 University of Geneva
  • Marziyeh Khalilizadeh Ganjalikhani Higher Education Complex of Bam
  • Anahita Amirshoja’i Higher Education Complex of Bam

Abstract

Crowdsourcing Translation (CT) platforms are constantly changing and developing in a dynamic and user-friendly approach. The rapid changes in technology have also accelerated this process. The present study focused on a new platform; a free cloud-based mobile and desktop messaging app called Telegram. Telegram’s technical features were discussed in the study. Then, experience of Iranian Translation Studies channel in using the app as CT platform and its implemented CT workflow were illustrated in details. It was shown that this general platform which has not been designed for crowdsourcing and CT specifically has essential features to be used as CT platform and has already been used as CT platform. Moreover, this app can be considered as a serious potential platform for CT especially in restricted situations.

Keywords:

crowdsourcing translation, crowdsourcing translation platform, social media, Telegram

Author Biographies

Razieh Azari, University of Geneva

Ph.D. Student in Translation Studies, Faculty of Translation and Interpreting

Marziyeh Khalilizadeh Ganjalikhani, Higher Education Complex of Bam

M.A. in Translation Studies, Faculty Member of the Higher Education Complex of Bam; PhD Student in Translation Studies, University of Isfahan, Isfahan, Iran

 

Anahita Amirshoja’i, Higher Education Complex of Bam

M.A. in Translation Studies, Faculty Member of the Higher Education Complex of Bam, Bam, Iran; Ph.D. Candidate in Translation Studies, Allameh Tabataba’i University, Tehran, Iran

References

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Published

2020-06-24

How to Cite

Azari, R., Khalilizadeh Ganjalikhani, M., & Amirshoja’i, A. (2020). Crowdsourcing Translation: An Experience of a Cloud-based Messaging App. Iranian Journal of Translation Studies, 17(68), 7–22. Retrieved from https://journal.translationstudies.ir/ts/article/view/742

Issue

Vol. 17 No. 68 (2020)

Section

Academic Research Paper

License

Copyright Licensee: Iranian Journal of Translation Studies. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0 license).