Division of Labor in Vocabulary Structure: Insights From Corpus Analyses. (24th September 2015)

• Record Type: Journal Article
• Authors: Christiansen, Morten H.; Monaghan, Padraic
• Is Part Of: Topics in cognitive science. Volume 8:Number 3(2016:Jul.)
• Page Start: 610
• Page End: 624
• Publication Date: 2015-09-24
• Subjects: Vocabulary -- Corpus analysis -- Form‐meaning mappings -- Arbitrariness -- Systematicity -- Lexical categories -- Sound symbolism -- Big data; Cognitive science -- Periodicals; Cognitive Science -- Periodicals; 153.05
• DOI: 10.1111/tops.12164
• Languages: English
• ISSNs: 1756-8757

Abstract

Abstract: Psychologists have used experimental methods to study language for more than a century. However, only with the recent availability of large‐scale linguistic databases has a more complete picture begun to emerge of how language is actually used, and what information is available as input to language acquisition. Analyses of such "big data" have resulted in reappraisals of key assumptions about the nature of language. As an example, we focus on corpus‐based research that has shed new light on the arbitrariness of the sign: the longstanding assumption that the relationship between the sound of a word and its meaning is arbitrary. The results reveal a systematic relationship between the sound of a word and its meaning, which is stronger for early acquired words. Moreover, the analyses further uncover a systematic relationship between words and their lexical categories—nouns and verbs sound differently from each other—affecting how we learn new words and use them in sentences. Together, these results point to a division of labor between arbitrariness and systematicity in sound‐meaning mappings. We conclude by arguing in favor of including "big data" analyses into the language scientist's methodological toolbox. Abstract : Psychologists have used experimental methods to study language for more than a century. However, only with the recent availability of large‐scale linguistic databases has a more complete picture begun to emerge of how language is actually used and what information is available as input to language acquisition. Analyses of such 'big data' have resulted in reappraisals of key assumptions about the nature of language, including the arbitrariness of the sign which is the focus on this paper.