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The evolution of linguistic complexity

Objective

Human language is unique among the communication systems of the natural world, providing our species with an incredibly flexible and powerful open-ended system of communication. This expressive power is underpinned by linguistic structure: we construct complex meaning-bearing utterances according to a set of rules and regularities which are conventionalised among speakers of a language. In my previous work I have shown that these fundamental structural features of language can be explained as a consequence of cultural evolution: structure evolves gradually as language is passed down through generations via learning and shaped by its repeated use for communication, in a process known as iterated learning.

However, existing modelling and experimental treatments of iterated learning are limited in that they focus on the evolution of simple languages which permit expression of a relatively small and fixed set of concepts. Real human languages are enormously complex, both in the expressive power they afford and the rich and complex set of structural devices they provide for conveying meaning. In this project I seek to address this major outstanding question in evolutionary linguistics: why is language complex? I will tackle this daunting question by exploring two subsidiary questions: when and how does linguistic complexity facilitate acquisition, and how do expressive power and linguistic complexity evolve as a result of language transmission and use? Answering these questions will require an ambitious programme of modelling and experimental work, covering acquisition in individual adults and children, language use in interaction, and language evolution in populations. I seek to substantially advance our understanding of the cultural evolution of language by exploring how learning, expressive pressures on language use, and social complexity drive the evolution of linguistic complexity.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-COG - Consolidator Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2015-CoG

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Host institution

THE UNIVERSITY OF EDINBURGH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 985 570,00
Address
OLD COLLEGE, SOUTH BRIDGE
EH8 9YL Edinburgh
United Kingdom

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Region
Scotland Eastern Scotland Edinburgh
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 985 570,00

Beneficiaries (1)

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