شماره ركورد :
1192027
عنوان مقاله :
Crowdsourcing Translation: An Experience of a Cloud-based Messaging App
پديد آورندگان :
Azari ، Razieh University of Geneva - Faculty of Translation and Interpreting , Khalilizadeh Ganjalikhani ، Marziyeh University of Isfahan , Amirshojai ، Anahita Higher Education Complex of Bam
از صفحه :
7
تا صفحه :
22
كليدواژه :
crowdsourcing translation , crowdsourcing translation platform , social media , Telegram
چكيده فارسي :
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 application (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 the general platform that 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.
عنوان نشريه :
مطالعات ترجمه
عنوان نشريه :
مطالعات ترجمه
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