Assessing quality in human and machine-generated subtitles and captions

Stephen Doherty; Jan Kruger

doi:10.1007/978-3-319-91241-7_9

Assessing quality in human and machine-generated subtitles and captions

Stephen Doherty, Jan Kruger

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The depth, breadth, and complexity of audiovisual translation (AVT) are growing at a rapid rate. AVT is becoming increasingly merged with language technologies, including computer-assisted translation tools, machine translation, automated subtitling and captioning software, and automatic speech recognition systems. An essential component in this exciting and challenging technological development of current and future applications of AVT is the definition and assessment of quality in a way that is transparent, reliable, consistent, meaningful to all stake-holders, and readily applicable to the growing diversity of AVT. This chapter first provides a critical overview of current and future issues in the assessment of quality in human and machine-generated subtitling and captioning. It builds upon a range of contemporary industry sources and moves into cutting-edge research on the processing and reception of AVT products across a variety of media and languages. We then move to discuss the impact of new media and technologies on best practice, policy, and research. Lastly, we identify numerous challenges and potential solutions for all stakeholders in order to encourage dialogue between disciplines with the aim of articulating and answering questions of quality in AVT in an evolving technological landscape.

Original language	English
Title of host publication	Translation quality assessment
Subtitle of host publication	from principles to practice
Editors	Joss Moorkens, Sheila Castilho, Federico Gaspari, Stephen Doherty
Place of Publication	Cham
Publisher	Springer, Springer Nature
Chapter	9
Pages	179-197
Number of pages	19
ISBN (Electronic)	9783319912400
ISBN (Print)	3319912402, 9783319912417
DOIs	https://doi.org/10.1007/978-3-319-91241-7_9
Publication status	Published - 2018

Publication series

Name	Machine translation: technologies and applications
Volume	1
ISSN (Print)	2522-8021
ISSN (Electronic)	2522-803X

Keywords

translation quality assessment
principles to practice
audiovisual translation
cognition
multimodality
new media
eye-tracking
AVT
reception studies

Access to Document

10.1007/978-3-319-91241-7_9

Cite this

Doherty, S., & Kruger, J. (2018). Assessing quality in human and machine-generated subtitles and captions. In J. Moorkens, S. Castilho, F. Gaspari, & S. Doherty (Eds.), Translation quality assessment: from principles to practice (pp. 179-197). (Machine translation: technologies and applications; Vol. 1). Springer, Springer Nature. https://doi.org/10.1007/978-3-319-91241-7_9

@inbook{6000eee431d345eda11688dac7f50156,

title = "Assessing quality in human and machine-generated subtitles and captions",

abstract = "The depth, breadth, and complexity of audiovisual translation (AVT) are growing at a rapid rate. AVT is becoming increasingly merged with language technologies, including computer-assisted translation tools, machine translation, automated subtitling and captioning software, and automatic speech recognition systems. An essential component in this exciting and challenging technological development of current and future applications of AVT is the definition and assessment of quality in a way that is transparent, reliable, consistent, meaningful to all stake-holders, and readily applicable to the growing diversity of AVT. This chapter first provides a critical overview of current and future issues in the assessment of quality in human and machine-generated subtitling and captioning. It builds upon a range of contemporary industry sources and moves into cutting-edge research on the processing and reception of AVT products across a variety of media and languages. We then move to discuss the impact of new media and technologies on best practice, policy, and research. Lastly, we identify numerous challenges and potential solutions for all stakeholders in order to encourage dialogue between disciplines with the aim of articulating and answering questions of quality in AVT in an evolving technological landscape. ",

keywords = "translation quality assessment, principles to practice, audiovisual translation, cognition, multimodality, new media, eye-tracking, AVT, reception studies",

author = "Stephen Doherty and Jan Kruger",

year = "2018",

doi = "10.1007/978-3-319-91241-7_9",

language = "English",

isbn = "3319912402",

series = "Machine translation: technologies and applications",

publisher = "Springer, Springer Nature",

pages = "179--197",

editor = "Joss Moorkens and Sheila Castilho and Federico Gaspari and Stephen Doherty",

booktitle = "Translation quality assessment",

address = "United States",

}

Assessing quality in human and machine-generated subtitles and captions. / Doherty, Stephen; Kruger, Jan.
Translation quality assessment: from principles to practice. ed. / Joss Moorkens; Sheila Castilho; Federico Gaspari; Stephen Doherty. Cham: Springer, Springer Nature, 2018. p. 179-197 (Machine translation: technologies and applications; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Assessing quality in human and machine-generated subtitles and captions

AU - Doherty, Stephen

AU - Kruger, Jan

PY - 2018

Y1 - 2018

N2 - The depth, breadth, and complexity of audiovisual translation (AVT) are growing at a rapid rate. AVT is becoming increasingly merged with language technologies, including computer-assisted translation tools, machine translation, automated subtitling and captioning software, and automatic speech recognition systems. An essential component in this exciting and challenging technological development of current and future applications of AVT is the definition and assessment of quality in a way that is transparent, reliable, consistent, meaningful to all stake-holders, and readily applicable to the growing diversity of AVT. This chapter first provides a critical overview of current and future issues in the assessment of quality in human and machine-generated subtitling and captioning. It builds upon a range of contemporary industry sources and moves into cutting-edge research on the processing and reception of AVT products across a variety of media and languages. We then move to discuss the impact of new media and technologies on best practice, policy, and research. Lastly, we identify numerous challenges and potential solutions for all stakeholders in order to encourage dialogue between disciplines with the aim of articulating and answering questions of quality in AVT in an evolving technological landscape.

AB - The depth, breadth, and complexity of audiovisual translation (AVT) are growing at a rapid rate. AVT is becoming increasingly merged with language technologies, including computer-assisted translation tools, machine translation, automated subtitling and captioning software, and automatic speech recognition systems. An essential component in this exciting and challenging technological development of current and future applications of AVT is the definition and assessment of quality in a way that is transparent, reliable, consistent, meaningful to all stake-holders, and readily applicable to the growing diversity of AVT. This chapter first provides a critical overview of current and future issues in the assessment of quality in human and machine-generated subtitling and captioning. It builds upon a range of contemporary industry sources and moves into cutting-edge research on the processing and reception of AVT products across a variety of media and languages. We then move to discuss the impact of new media and technologies on best practice, policy, and research. Lastly, we identify numerous challenges and potential solutions for all stakeholders in order to encourage dialogue between disciplines with the aim of articulating and answering questions of quality in AVT in an evolving technological landscape.

KW - translation quality assessment

KW - principles to practice

KW - audiovisual translation

KW - cognition

KW - multimodality

KW - new media

KW - eye-tracking

KW - AVT

KW - reception studies

UR - https://www.springer.com/us/book/9783319912400

U2 - 10.1007/978-3-319-91241-7_9

DO - 10.1007/978-3-319-91241-7_9

M3 - Chapter

SN - 3319912402

SN - 9783319912417

T3 - Machine translation: technologies and applications

SP - 179

EP - 197

BT - Translation quality assessment

A2 - Moorkens, Joss

A2 - Castilho, Sheila

A2 - Gaspari, Federico

A2 - Doherty, Stephen

PB - Springer, Springer Nature

CY - Cham

ER -

Assessing quality in human and machine-generated subtitles and captions

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this