Crowdsourcing for Speech: Economic, Legal and Ethical analysis

Abstract : With respect to spoken language resource production, Crowdsourcing – the process of distributing tasks to an open, unspecified population via the internet – offers a wide range of opportunities: populations with specific skills are potentially instantaneously accessible somewhere on the globe for any spoken language. As is the case for most newly introduced high-tech services, crowd-sourcing raises both hopes and doubts, certainties and questions. A general analysis of Crowdsourcing for Speech processing could be found in (Eskenazi et al., 2013). This article will focus on ethical, legal and economic issues of crowdsourcing in general (Zittrain, 2008a) and of crowdsourcing services such as Amazon Mechanical Turk (Fort et al., 2011; Adda et al., 2011), a major platform for multilingual language resources (LR) production. These issues include labor vs leisure, spare time vs working time, labor organization and protection, payment and rewards etc.
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[Research Report] RR-LIG-036, LIG. 2012
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Gilles Adda, Joseph Mariani, Laurent Besacier, Hadrien Gelas. Crowdsourcing for Speech: Economic, Legal and Ethical analysis. [Research Report] RR-LIG-036, LIG. 2012. 〈hal-01472036〉

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