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Memory access in language: how we store and retrieve linguistic information

Project description

A deeper understanding of how memory shapes language

In the intricate tapestry of human communication, our ability to understand and connect hinges on the complex storage and retrieval of linguistic information. Yet prevailing linguistic memory models have often been narrowly focused, leaving vast areas of memory functions unexplored. In this context, the EU-funded MEMLANG project aims to expand the horizons of linguistic memory research. This groundbreaking initiative seeks to broaden the applicability of memory models, connecting them with various language phenomena across linguistics, cognitive sciences and artificial intelligence. The project’s mission involves linking memory models to computational models of lexical knowledge, grammatical rules and discourse theories. By doing so, it aims to develop a comprehensive and adaptable approach to memory access.

Objective

To be able to talk and to understand each other, we have to continuously store and retrieve linguistic information. In linguistics, the dominant approach to studying the processes of storing and recall of linguistic information from short-term memory assumes that we can access all items in parallel and that the most highly activated items are the most likely to be retrieved. Activation, in turn, can be boosted by the requirements of the current cognitive context.
This model is related to theories of memory developed independently of linguistics. In linguistics, it has been supported by rich research on production and comprehension. The model, however, has been applied very narrowly. It focuses only on the recall of some syntactic items, for instance, the recall of arguments during the processing of a verb. Other functions of memory fall outside the approach.
The project’s core idea is that the memory model can be applied to many other cases in which memory has a decisive role. We will do this by linking the model to theories of other language phenomena developed in linguistics, cognitive sciences and artificial intelligence. First, we will link it to computational models of lexical knowledge, which will enable us to fully and formally represent what the current cognitive context is and to build an indiscriminate and general approach to memory access. Second, we will link it to computational models of grammatical knowledge to understand how we store and recall grammatical rules. Finally, we will link it to discourse theories to have an analysis of storage and recall of textual information.
The project will lead to a new view on the memory model, one that is general and cross-domain. It will provide a more principled account of how memory affects language, will give us a new insight into why the theories of lexical knowledge, grammatical knowledge and discourse theories work, and it will make it possible to tie together accounts that are often treated as independent.

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Topic(s)

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Call for proposal

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(opens in new window) ERC-2022-COG

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Host institution

UNIVERSITEIT UTRECHT
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.

€ 1 999 500,00
Address
HEIDELBERGLAAN 8
3584 CS Utrecht
Netherlands

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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.

€ 1 999 500,00

Beneficiaries (1)

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