Bolanos-Garcia-Escribano, Alejandro;
(2023)
Editing machine-generated subtitle templates: A situated subtitler training experience.
Cadernos de Tradução
, 43
(1)
, Article e93050. 10.5007/2175-7968.2023.e93050.
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Abstract
Automation technologies have altered media localisation workflows as much as practitioners’ workstations and habits. Subtitling systems and streaming services now often integrate built-in automatic speech recognition (ASR) engines, sometimes even combined with machine translation engines, to produce subtitles from audio tracks. The rise of post-editors in the audiovisual translation (AVT) sector, specifically subtitling, has been a reality for some time, thus triggering the need for up-to-date training methods and academic curricula. This article examines the uses and applications of editing practices for machine-generated timed transcriptions in subtitler training environments. A situated learning experience was designed for an international team of eight AVT trainees and three educators to edit raw machine-generated subtitles (both inter- and intra-lingually) for educational videos. The publication of an accessible video book by a publishing house was the ultimate objective of this project, undertaken by an international team of English- and Spanish-speaking postgraduate students and graduates. The feedback collated after this experience through an online questionnaire proved paramount to understanding the use of subtitle post-editing for ASR-produced templates in AVT education. Interestingly, most respondents believed that subtitle post-editing training, be it intralingual or interlingual, should be further embedded in translation curricula while also identifying bottlenecks that AVT educators may find useful when developing activities of this nature.
| Type: | Article |
|---|---|
| Title: | Editing machine-generated subtitle templates: A situated subtitler training experience |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5007/2175-7968.2023.e93050 |
| Publisher version: | https://doi.org/10.5007/2175-7968.2023.e93050 |
| Language: | English |
| Additional information: | Copyright (c) 2023 Cadernos de Tradução Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License. Autores mantêm os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Licença Creative Commons Atribuição 4.0 Internacional (CC BY) que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista. Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capítulo de livro, com reconhecimento de autoria e publicação inicial nesta revista). https://creativecommons.org/licenses/by/4.0/legalcode.pt/ Copyright Notice: This work is licensed under a Creative Commons Attribution 4.0 International License. Authors hold the copyright and grant the journal the right for their articles' first publication, being their works simultaneously licensed under the Creative Commons Attribution License (CC BY), which allows the sharing of such works with its authorship acknowledged and its initial publication in this journal. Authors are allowed to enter into separate additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or as a book chapter, with an acknowledgment of its initial publication in this journal). |
| Keywords: | Audiovisual translation, subtitling, automation technologies, automatic speech recognition, post-editing |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > SELCS |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10170828 |
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