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A Crowdsourcing Smartphone Application for Swiss German: Putting Language Documentation in the Hands of the Users


Goldman, Jean-Philippe; Leemann, Adrian; Kolly, Marie-José; Hove, Ingrid; Almajai, Ibrahim; Dellwo, Volker; Moran, Steven (2014). A Crowdsourcing Smartphone Application for Swiss German: Putting Language Documentation in the Hands of the Users. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, 26 May 2014 - 31 May 2014, 3444-3447.

Abstract

This contribution describes an on-going projects a smartphone application called Voice Ãpp, which is a follow-up of a previous application called Dialäkt Ãpp. The main purpose of both apps is to identify the user’s Swiss German dialect on the basis of the dialectal variations of 15 words. The result is returned as one or more geographical points on a map. In Dialäkt Ãpp, launched in 2013, the user provides his or her own pronunciation through buttons, while the Voice Ãpp, currently in development, asks users to pronounce the word and uses speech recognition techniques to identify the variants and localize the user. This second app is more challenging from a technical point of view but nevertheless recovers the nature of dialect variation of spoken language. Besides, the Voice Ãpp takes its users on a journey in which they explore the individuality of their own voices, answering questions such as: How high is my voice? How fast do I speak? Do I speak faster than users in the neighbouring city?

This contribution describes an on-going projects a smartphone application called Voice Ãpp, which is a follow-up of a previous application called Dialäkt Ãpp. The main purpose of both apps is to identify the user’s Swiss German dialect on the basis of the dialectal variations of 15 words. The result is returned as one or more geographical points on a map. In Dialäkt Ãpp, launched in 2013, the user provides his or her own pronunciation through buttons, while the Voice Ãpp, currently in development, asks users to pronounce the word and uses speech recognition techniques to identify the variants and localize the user. This second app is more challenging from a technical point of view but nevertheless recovers the nature of dialect variation of spoken language. Besides, the Voice Ãpp takes its users on a journey in which they explore the individuality of their own voices, answering questions such as: How high is my voice? How fast do I speak? Do I speak faster than users in the neighbouring city?

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Comparative Linguistics
Dewey Decimal Classification:490 Other languages
890 Other literatures
410 Linguistics
Language:English
Event End Date:31 May 2014
Deposited On:16 Jan 2015 15:23
Last Modified:12 Aug 2016 07:39
Publisher:European Language Resources Association (ELRA)
ISBN:978-2-9517408-8-4
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.lrec-conf.org/proceedings/lrec2014/pdf/214_Paper.pdf
Permanent URL: https://doi.org/10.5167/uzh-103791

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