@inproceedings{goldman-etal-2014-crowdsourcing,
title = "A Crowdsourcing Smartphone Application for {S}wiss {G}erman: Putting Language Documentation in the Hands of the Users",
author = "Goldman, Jean-Philippe and
Leeman, Adrian and
Kolly, Marie-Jos{\'e} and
Hove, Ingrid and
Almajai, Ibrahim and
Dellwo, Volker and
Moran, Steven",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/214_Paper.pdf",
pages = "3444--3447",
abstract = {This contribution describes an on-going projects a smartphone application called Voice {\~A}pp, which is a follow-up of a previous application called Dial{\"a}kt {\~A}pp. The main purpose of both apps is to identify the users 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 Dial{\"a}kt {\~A}pp, launched in 2013, the user provides his or her own pronunciation through buttons, while the Voice {\~A}pp, 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 {\~A}pp 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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<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 users 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?</abstract>
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%0 Conference Proceedings
%T A Crowdsourcing Smartphone Application for Swiss German: Putting Language Documentation in the Hands of the Users
%A Goldman, Jean-Philippe
%A Leeman, Adrian
%A Kolly, Marie-José
%A Hove, Ingrid
%A Almajai, Ibrahim
%A Dellwo, Volker
%A Moran, Steven
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F goldman-etal-2014-crowdsourcing
%X 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 users 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?
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/214_Paper.pdf
%P 3444-3447
Markdown (Informal)
[A Crowdsourcing Smartphone Application for Swiss German: Putting Language Documentation in the Hands of the Users](http://www.lrec-conf.org/proceedings/lrec2014/pdf/214_Paper.pdf) (Goldman et al., LREC 2014)
ACL