Rules, Analogy and Social Factors codetermine past-tense formation patterns in English (2014)
Type of ContentConference Contributions - Other
PublisherUniversity of Canterbury. Global, Cultural and Language Studies
University of Canterbury. School of Language, Social and Political Sciences
University of Canterbury. Linguistics
University of Canterbury. New Zealand Institute of Language, Brain & Behaviour
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.
CitationRacz, P., Beckner, C., Hay, J.B., Pierrehumbert, J.B. (2014) Rules, Analogy and Social Factors codetermine past-tense formation patterns in English. Baltimore, MD, USA: Joint Workshop between SIGMORPHON and SIGFSM, Association for Computational Linguistics (MORPHFSM2014), 27 Jun 2014.
This citation is automatically generated and may be unreliable. Use as a guide only.
ANZSRC Fields of Research47 - Language, communication and culture::4703 - Language studies::470307 - English language
47 - Language, communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology, morphology and syntax)
Showing items related by title, author, creator and subject.
Tayyar Madabushi H; Dunn, Jonathan (Association for Computational Linguistics, 2021)This paper measures the impact of increased exposure on whether learned construction grammars converge onto shared representations when trained on data from different registers. Register influences the frequency of ...
Dunn J (Walter de Gruyter GmbH, 2013)This paper argues that two properties of the linguistic structure of an utterance influence and partially determine whether the utterance has a metaphoric meaning that results in a stable interpretation: (i) degree of ...
Gast V; Evans N; Döhler C; Schokkin, Dineke (University of Hawai'i Press, 2021)This paper provides a first description of the phonetics and phonology of Idi (Pahoturi River; ISO 639-3: idi, glottocode: idii1243) as spoken by about 1,000 people in the villages of Dimsisi and Sibidiri, located in the ...