The relation between linguistic categories and cognition: The case of numeral classifiers

Henrik Saalbach, Mutsumi Imai

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

The classifier grammar system categorises things in the world in a way that is drastically different from the way nouns do. Previous research revealed amplified similarity among objects belonging to the same classifier category in Chinese speakers, but how this amplified classifier similarity effect arises was still an open question. The present research was conducted to address this question. For this purpose, we compared speakers of Chinese, Japanese (classifier languages), and German (nonclassifier language) on a range of cognitive tasks including similarity judgements, property induction, and fast-speed word-picture matching. Although Chinese and Japanese classifier systems are similar in their semantic structures, classifier classes for nouns are marked more systematically in Chinese than in Japanese. The amplified classifier similarity effect was found in Chinese but not in Japanese speakers. We explore the nature of the amplified classifier similarity effect and propose an explanation for how it may arise.

Original languageEnglish
Pages (from-to)381-428
Number of pages48
JournalLanguage and Cognitive Processes
Volume27
Issue number3
DOIs
Publication statusPublished - 2012 Apr

Fingerprint

Linguistics
Cognition
cognition
Language
linguistics
Research
Semantics
German language
induction
grammar
semantics
Numeral Classifiers
Classifier
language

Keywords

  • Classifiers
  • Concepts
  • Inductive reasoning
  • Linguistic relativity
  • Similarity

ASJC Scopus subject areas

  • Linguistics and Language
  • Experimental and Cognitive Psychology
  • Language and Linguistics
  • Education

Cite this

The relation between linguistic categories and cognition : The case of numeral classifiers. / Saalbach, Henrik; Imai, Mutsumi.

In: Language and Cognitive Processes, Vol. 27, No. 3, 04.2012, p. 381-428.

Research output: Contribution to journalArticle

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