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Using Mechanical Turk to Obtain and Analyze English Acceptability Judgments

Bibliographic Data

ID4789786
AuthorsEdward Gibson (0000-0002-5912-883X, Institute of Cognitive and Brain Sciences), Steve Piantadosi (Institute of Cognitive and Brain Sciences), Kristina Fedorenko (Smith College)
Year2011
Volume5
Issue8
Pages509-524
Publication date2011-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage and Linguistics Compass (JOURNAL)
Journal identifiersISSN: 1749-818X • E-ISSN: 1749-818X
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1749-818x.2011.00295.x
OpenAlexW2127452865
LanguageEN
Citations received60
References cited30

The prevalent method in theoretical syntax and semantics research involves obtaining a judgment of the acceptability of a sentence/meaning pair, typically by just the author of the paper, sometimes with feedback from colleagues. The weakness of the traditional non-quantitative single-sentence/single-participant methodology, along with the existence of cognitive and social biases, has the unwanted effect that claims in the syntax and semantics literature cannot be trusted. Even if most of the judgments in an arbitrary syntax/semantics paper can be substantiated with rigorous quantitative experiments, the existence of a small set of judgments that do not conform to the authors' intuitions can have a large effect on the potential theories. Whereas it is clearly desirable to quantitatively evaluate all syntactic and semantic hypotheses, it has been time-consuming in the past to find a large pool of naïve experimental participants for behavioral experiments. The advent of Amazon.com's Mechanical Turk now makes this process very simple. Mechanical Turk is a marketplace interface that can be used for collecting behavioral data over the internet quickly and inexpensively. The cost of using an interface like Mechanical Turk is minimal, and the time that it takes for the results to be returned is very short. Many linguistic surveys can be completed within a day, at a cost of less than $50. In this paper, we provide detailed instructions for how to use our freely available software in order to (a) post-linguistic acceptability surveys to Mechanical Turk; and (b) extract and analyze the resulting data

Linguistics · Natural language processing · Programming language · Sentence · Syntax · Computer Science · Language, Discourse, Communication Strategies · Neurobiology of Language and Bilingualism · Psychology · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

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Citations per year4
Citation span2011 - 2025 (15)
Citation velocityrecent
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