Towards a methodology for evaluating automatic subtitling
Alina Karakanta, Luisa Bentivogli, Mauro Cettolo, Matteo Negri, Marco Turchi
Abstract
In response to the increasing interest towards automatic subtitling, this EAMT-funded project aimed at collecting subtitle post-editing data in a real use case scenario where professional subtitlers edit automatically generated subtitles. The post-editing setting includes, for the first time, automatic generation of timestamps and segmentation, and focuses on the effect of timing and segmentation edits on the post-editing process. The collected data will serve as the basis for investigating how subtitlers interact with automatic subtitling and for devising evaluation methods geared to the multimodal nature and formal requirements of subtitling.- Anthology ID:
- 2022.eamt-1.57
- Volume:
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Month:
- June
- Year:
- 2022
- Address:
- Ghent, Belgium
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 335–336
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.57
- DOI:
- Bibkey:
- Cite (ACL):
- Alina Karakanta, Luisa Bentivogli, Mauro Cettolo, Matteo Negri, and Marco Turchi. 2022. Towards a methodology for evaluating automatic subtitling. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 335–336, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- Towards a methodology for evaluating automatic subtitling (Karakanta et al., EAMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.57.pdf
Export citation
@inproceedings{karakanta-etal-2022-towards,
title = "Towards a methodology for evaluating automatic subtitling",
author = "Karakanta, Alina and
Bentivogli, Luisa and
Cettolo, Mauro and
Negri, Matteo and
Turchi, Marco",
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"\i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2022.eamt-1.57",
pages = "335--336",
abstract = "In response to the increasing interest towards automatic subtitling, this EAMT-funded project aimed at collecting subtitle post-editing data in a real use case scenario where professional subtitlers edit automatically generated subtitles. The post-editing setting includes, for the first time, automatic generation of timestamps and segmentation, and focuses on the effect of timing and segmentation edits on the post-editing process. The collected data will serve as the basis for investigating how subtitlers interact with automatic subtitling and for devising evaluation methods geared to the multimodal nature and formal requirements of subtitling.",
}
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%0 Conference Proceedings %T Towards a methodology for evaluating automatic subtitling %A Karakanta, Alina %A Bentivogli, Luisa %A Cettolo, Mauro %A Negri, Matteo %A Turchi, Marco %Y Moniz, Helena %Y Macken, Lieve %Y Rufener, Andrew %Y Barrault, Loïc %Y Costa-jussà, Marta R. %Y Declercq, Christophe %Y Koponen, Maarit %Y Kemp, Ellie %Y Pilos, Spyridon %Y Forcada, Mikel L. %Y Scarton, Carolina %Y Van den Bogaert, Joachim %Y Daems, Joke %Y Tezcan, Arda %Y Vanroy, Bram %Y Fonteyne, Margot %S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation %D 2022 %8 June %I European Association for Machine Translation %C Ghent, Belgium %F karakanta-etal-2022-towards %X In response to the increasing interest towards automatic subtitling, this EAMT-funded project aimed at collecting subtitle post-editing data in a real use case scenario where professional subtitlers edit automatically generated subtitles. The post-editing setting includes, for the first time, automatic generation of timestamps and segmentation, and focuses on the effect of timing and segmentation edits on the post-editing process. The collected data will serve as the basis for investigating how subtitlers interact with automatic subtitling and for devising evaluation methods geared to the multimodal nature and formal requirements of subtitling. %U https://aclanthology.org/2022.eamt-1.57 %P 335-336
Markdown (Informal)
[Towards a methodology for evaluating automatic subtitling](https://aclanthology.org/2022.eamt-1.57) (Karakanta et al., EAMT 2022)
- Towards a methodology for evaluating automatic subtitling (Karakanta et al., EAMT 2022)
ACL
- Alina Karakanta, Luisa Bentivogli, Mauro Cettolo, Matteo Negri, and Marco Turchi. 2022. Towards a methodology for evaluating automatic subtitling. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 335–336, Ghent, Belgium. European Association for Machine Translation.