Abstract
In recent years, automatic subtitling has gained considerable scholarly attention. Implementing machine translation in subtitling editors faces challenges, being a primary process in automatic subtitling. Therefore, there is still a significant research gap when it comes to machine translation implementation in automatic subtitling. This project compared different levels of non-verbal input videos from English to Chinese Simplified to examine post-editing efforts in automatic subtitling. The research collected the following data: process logs, which records the total time spent on the subtitles, keystrokes, and user experience questionnaire (UEQ). 12 subtitlers from a translation agency in Mainland China were invited to complete the task. The results show that there are no significant differences between videos with low and high levels of non-verbal input in terms of time spent. Furthermore, the subtitlers spent more effort on revising spotting and segmentation than translation when they post-edited texts with a high level of non-verbal input. While a majority of subtitlers show a positive attitude towards the application of machine translation, their apprehension lies in the potential overreliance on its usage.- Anthology ID:
- 2023.mtsummit-users.5
- Volume:
- Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
- Month:
- September
- Year:
- 2023
- Address:
- Macau SAR, China
- Editors:
- Masaru Yamada, Felix do Carmo
- Venue:
- MTSummit
- SIG:
- Publisher:
- Asia-Pacific Association for Machine Translation
- Note:
- Pages:
- 54–64
- Language:
- URL:
- https://aclanthology.org/2023.mtsummit-users.5
- DOI:
- Cite (ACL):
- Bina Xie. 2023. Machine Translation Implementation in Automatic Subtitling from a Subtitlers’ Perspective. In Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track, pages 54–64, Macau SAR, China. Asia-Pacific Association for Machine Translation.
- Cite (Informal):
- Machine Translation Implementation in Automatic Subtitling from a Subtitlers’ Perspective (Xie, MTSummit 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2023.mtsummit-users.5.pdf