About the session

Human vs. Machine – what machine translation needs to get right in subtitling

As the need for both interlingual and intralingual subtitling increases dramatically, many companies and authorities have started using methods such as speech recognition and machine translation to increase productivity and curb costs. These practices have led to an increase in quantity, but what about quality? We have compared traditional interlingual subtitles with subtitles created using machine translation and human postediting, to find out how quality differs and which features machine translated subtitles have. The results show that that the quality of machine translated subtitles is significantly lower, and display features that may interfere with audience satisfaction   We want to point out some aspects where there is room for improvement, and also make a few suggestions for change.

About Hanna

Hanna Hagström has a BA and an MA in Translation Studies from The Institute of Interpreting and Translation Studies at Stockholm University. She has worked as a freelance translator, subtitler, QC’er, and audio describer since 2006. Currently,  she is also teaching subtitling and translation at The Institute of Interpreting and Translation Studies at Stockholm University.