عنوان مقاله:

نویسندگان:

Akbar Hesabi، Marziyeh Khalilizadeh Ganjalikhani ‎

This project concerns with crowdsourcing Translation as a post-editing means of ‎translations produced via Machine Translation, through a cloud-based Smartphone ‎App (Telegram) as a crowdsourcing platform. The selected Translation Machines ‎were Google Translate website and Farazin Translator website. As a first step, ‎random expressions from health-related texts/sources were collected as the required ‎data, and then they were given to Google Translate and Farazin Translator to be ‎translated. In the third step a Telegram Bot was designed to share the MT outcome ‎with Medical students as well as senior Translation students to grade, to edit or to ‎correct in case of errors. The final step not only consisted of a quality assessment ‎between the two translation outcomes providing a statistical analysis but also ‎included a comparison between translations done by medical and translation ‎student, as two closed crowdsourcer groups, to detect which group had a better ‎performance. ‎

‎ Cloud-Based App, Crowdsourcing, Machine Translation, Post-editing, Telegram ‎Platform

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Hesabi، Akbar، Khalilizadeh Ganjalikhani ‎، Marziyeh، 1398، Crowdsourcing Translation as MT Post-editing of Health-related ‎Information: An Experience of Cloud-based Smartphone App ‎، اولين کنفرانس بين المللي مطالعات زبان انگليسي، https://conf.ui.ac.ir/fa/archive_index.php?c=icels&aid=1506066