David Adger
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David Adger is a Professor at Queen Mary University of London. His research focuses on syntax, sociolinguistics, and cognitive biases in language representation, as demonstrated in his recent works on microvariation and word order. He has contributed significantly to the fields of theoretical linguistics and the analysis of various English dialects, including Scots. Professor Adger's interdisciplinary approach combines insights from syntax, meaning, and sociolinguistics to advance our understanding of language structure.
Recent Grants
Grant: Close
The Scots Syntactic Atlas
Open Date: 2015-07-31
Close Date: 2019-07-30
Grant: Close
Atomic Linguistic Elements of Phi (ALEPH)
Open Date: 2009-12-01
Close Date: 2013-04-29
Grant: Close
Atomic Linguistic Elements of Phi (ALEPH)
Open Date: 2009-12-01
Close Date: 2013-04-29
Grant: Close
The Grammar Meaning Connection
Open Date: 2006-09-01
Close Date: 2009-09-01
Articles (9)
A Universal Cognitive Bias in Word Order: Evidence From Speakers Whose Language Goes Against It
There is a long-standing debate in cognitive science surrounding the source of commonalities among languages of the world. Indeed, there are many potential explanations for such commonalities—accidents of history, common processes of language change, memory limitations, constraints on linguistic representations, and so on. Recent research has used psycholinguistic experiments to provide empirical evidence linking common linguistic patterns to specific features of human cognition, but these experiments tend to use English speakers, who in many cases have direct experience with the common patterns of interest. Here we highlight the importance of testing populations whose languages go against cross-linguistic trends. We investigate whether adult monolingual speakers of Kîîtharaka, which has an unusual way of ordering words, mirror the word-order preferences of English speakers. We find that they do, supporting the hypothesis that universal cognitive representations play a role in shaping word order.
Year:
2024
Year:
2021
Collaborators (2)
Christine Schreyer
Associate Professor
University of British Columbia Okanagan
Jennifer Culbertson
University of Edinburgh

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