Jessie and Gary or Gary and Jessie? Cognitive Accessibility Predicts Order in English and Japanese

Karina Tachihara, Miah Pitcher, Adele E. Goldberg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Notably, while English tends to prefer shorter before longer complements (explained to us a very clear effect), Japanese displays the opposite tendency. Far less cross-linguistic work has investigated possible differences in the ordering of nouns within conjunctions (“binomials'), although a corpus study suggests that the same factors predict binomial ordering in Japanese and English. To investigate the issue experimentally, we report Japanese and English speakers' productions of names of the members of couples that they knew personally. Results confirm that conceptual accessibility is the most important factor in the ordering of familiar name binomials in both languages. That is, both groups tended to name the member they felt closer to first. Length (syllables/mora) was not a significant predictor in either language. Differences in the preferred order of verbs' complements are then attributable to other factors, possibly a very general preference to minimize the average distance between semantically related elements.

Original languageEnglish (US)
Title of host publicationProceedings of the 41st Annual Meeting of the Cognitive Science Society
Subtitle of host publicationCreativity + Cognition + Computation, CogSci 2019
PublisherThe Cognitive Science Society
Pages1083-1089
Number of pages7
ISBN (Electronic)0991196775, 9780991196777
StatePublished - 2019
Event41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019 - Montreal, Canada
Duration: Jul 24 2019Jul 27 2019

Publication series

NameProceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019

Conference

Conference41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019
Country/TerritoryCanada
CityMontreal
Period7/24/197/27/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • English
  • Japanese
  • accessibility
  • binomials
  • word order

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