Work

Crowdsourcing and language studies: the new generation of linguistic data

Year: 2010

Type: conference-paper

Abstract: We present a compendium of recent and current projects that utilize crowdsourcing technologies for language studies, finding that the quality is comparable to controlled laboratory experiments, and in some cases superior. While crowdsourcing has primarily been used for annotation in recent language studies, the results here demonstrate that far richer data may be generated in a range of linguistic disciplines from semantics to psycholinguistics. For these, we report a number of successful methods for evaluating data quality in the absence of a 'correct' response for any given data point.

Source: Max Planck Institute for Plasma Physics

Authors: Robert Munro, Steven Bethard, Victor Kuperman, Vicky T Lai, Robin Melnick, Christopher Potts, Tyler Schnoebelen, Harry Tily

Institution: Stanford University

Language: English

Topic: Mobile Crowdsensing and Crowdsourcing

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1905966190

FWCI: 12.15

Cites: 19

Cited by: 142

Related to: 10