Kim Euna, Pusan National University, South Korea

This Study explores the role of machine translation by creating a corpus of text from the one of SNS, Facebook, and analyzing and evaluating the corpus data in terms of User-Centered Translation (UCT). For the data to examine, Reuter’s Facebook account with language pair of English and Korean was selected due to the fact that the posts are open to the public and use a formal structure of sentences. Based on the corpus, a questionnaire was made to actually see the response from users who are following the Reuter’s account and using translation function.

Machine Translation, Social Network Services, Corpus, User-Cantered Translation, Target Reader