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Participants Conform to Humans but Not to Humanoid Robots in an English Past Tense Formation Task
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Social salience discriminates learnability of contextual cues in an artificial language
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Rules, Analogy and Social Factors codetermine past-tense formation patterns in English
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Hay, J.B.; Pierrehumbert, J.B.; Beckner, C.; Racz, P.. - : University of Canterbury. Global, Cultural and Language Studies, 2014. : University of Canterbury. School of Language, Social and Political Sciences, 2014. : University of Canterbury. Linguistics, 2014. : University of Canterbury. New Zealand Institute of Language, Brain & Behaviour, 2014
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Abstract:
We investigate past-tense formation preferences for five irregular English verb classes. We gathered data on a large scale using a nonce probe study implemented on Amazon Mechanical Turk. We compare a Minimal Generalization Learner (which infers stochastic rules) with a Generalized Context Model (which evaluates new items via analogy with existing items) as models of participant choices. Overall, the GCM is a better predictor, but the the MGL provides some additional predictive power. Because variation across speakers is greater than variation across items, we also explore individual-level factors as predictors. Females exhibited significantly more categorical choices than males, a finding that can be related to results in sociolinguistics.
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Keyword:
communication and culture::4703 - Language studies::470307 - English language; communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology; Fields of Research::47 - Language; morphology and syntax)
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URL: http://hdl.handle.net/10092/9517
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