Lost in Translation: Machine Translation and Text-To-Speech in Industry 4.0

Jean Denise Hallewell Haslwanter; Michael Heiml; Josef Wolfartsberger

doi:10.1145/3316782.3322746

Lost in Translation: Machine Translation and Text-To-Speech in Industry 4.0

Jean Denise Hallewell Haslwanter, Michael Heiml, Josef Wolfartsberger

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

7 Zitate (Scopus)

Abstract

Small lot sizes are becoming more common in modern manufacturing. Rather than automate every possible product variant, companies may rely on manual assembly to be more flexible. However, it can be difficult for people to remember the steps for every possible product variant. Assistive systems providing instructions can support workers. In this paper, we present a study investigating whether existing machine translation and text-to-speech engines provide sufficient quality to enable on-the-fly translations to provide assistance to workers in their native languages. The results of our tests indicate that machine translation is not yet sufficient for this application.

Originalsprache	Englisch
Titel	Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019
Herausgeber (Verlag)	ACM Press
Seiten	333-342
Seitenumfang	10
ISBN (elektronisch)	9781450362320
ISBN (Print)	978-1-4503-6232-0
DOIs	https://doi.org/10.1145/3316782.3322746
Publikationsstatus	Veröffentlicht - 5 Juni 2019
Veranstaltung	PETRA 2019 - PErvasive Technologies Related to Assistive Environments - Rhodos, Griechenland Dauer: 6 Juni 2019 → 8 Juni 2019 http://petrae.org/

Publikationsreihe

Name	ACM International Conference Proceeding Series

Konferenz

Konferenz	PETRA 2019 - PErvasive Technologies Related to Assistive Environments
Land/Gebiet	Griechenland
Ort	Rhodos
Zeitraum	06.06.2019 → 08.06.2019
Internetadresse	http://petrae.org/

Schlagwörter

assistive systems
computer-assisted instruction
manual assembly
machine translation
MT
text to speech
TTS

Zugriff auf Dokument

10.1145/3316782.3322746

Andere Dateien und Links

Link zur Publikation in Scopus

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Hallewell Haslwanter, J. D., Heiml, M., & Wolfartsberger, J. (2019). Lost in Translation: Machine Translation and Text-To-Speech in Industry 4.0. in Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019 (S. 333-342). (ACM International Conference Proceeding Series). ACM Press. https://doi.org/10.1145/3316782.3322746

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abstract = "Small lot sizes are becoming more common in modern manufacturing. Rather than automate every possible product variant, companies may rely on manual assembly to be more flexible. However, it can be difficult for people to remember the steps for every possible product variant. Assistive systems providing instructions can support workers. In this paper, we present a study investigating whether existing machine translation and text-to-speech engines provide sufficient quality to enable on-the-fly translations to provide assistance to workers in their native languages. The results of our tests indicate that machine translation is not yet sufficient for this application.",

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Hallewell Haslwanter, JD, Heiml, M & Wolfartsberger, J 2019, Lost in Translation: Machine Translation and Text-To-Speech in Industry 4.0. in Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. ACM International Conference Proceeding Series, ACM Press, S. 333-342, PETRA 2019 - PErvasive Technologies Related to Assistive Environments, Rhodos, Griechenland, 06.06.2019. https://doi.org/10.1145/3316782.3322746

Lost in Translation: Machine Translation and Text-To-Speech in Industry 4.0. / Hallewell Haslwanter, Jean Denise; Heiml, Michael; Wolfartsberger, Josef.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. ACM Press, 2019. S. 333-342 (ACM International Conference Proceeding Series).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

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Lost in Translation: Machine Translation and Text-To-Speech in Industry 4.0

Abstract

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