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ECOLANG SIGNED

Ecological Language: A multimodal approach to language and the brain

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 ECOLANG project word cloud

Explore the words cloud of the ECOLANG project. It provides you a very rough idea of what is the project "ECOLANG" about.

automatic    learnt    cue    compromised    circuitry    rigour    combining    environments    learning    fmri    avatar    syntactic    informativeness    annotate    representative    computational    symptom    eeg    brain    manual    derive    functions    dynamically    niche    converging    mechanistic    language    everyday    rehabilitation    discourse    lexical    signal    data    almost    speech    crowdsourcing    network    hands    accounts    basis    multimodal    analysed    pioneer    innovative    communication    learned    collect    combination    ecolang    environment    models    children    refined    multiple    prosody    ecological    lesion    mapping    technologies    stroke    neural    patients    cognitive    behavioural    conversation    contexts    annotation    cues    linguistic    reductionist    adults    processed    exclusively    neuroscientific    mostly    comprehension    experimental    quantitative    gestures    naturalistic    dynamic    human    tested    populations    aphasic    world    stimuli    corpus    healthy    experiments    probabilistic   

Project "ECOLANG" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://www.language-cognition-lab.org/research/ecological-language/
 Total cost 2˙243˙584 €
 EC max contribution 2˙243˙584 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-ADG
 Funding Scheme ERC-ADG
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 2˙221˙020.00
2    UNIVERSITY OF BRIGHTON UK (BRIGHTON) participant 12˙414.00
3    UNIVERSITAET ZU KOELN DE (KOELN) participant 10˙149.00

Map

 Project objective

The human brain has evolved the ability to support communication in complex and dynamic environments. In such environments, language is learned, and mostly used in face-to-face contexts in which processing and learning is based on multiple cues: linguistic (such as lexical, syntactic), but also discourse, prosody, face and hands (gestures). Yet, our understanding of how language is learnt and processed, and its associated neural circuitry, comes almost exclusively from reductionist approaches in which the multimodal signal is reduced to speech or text. ECOLANG will pioneer a new way to study language comprehension and learning using a real-world approach in which language is analysed in its rich face-to-face multimodal environment (i.e., language’s ecological niche). Experimental rigour is not compromised by the use of innovative technologies (combining automatic, manual and crowdsourcing methods for annotation; creating avatar stimuli for our experiments) and state-of-the-art modelling and data analysis (probabilistic modelling and network-based analyses). ECOLANG studies how the different cues available in face-to-face communication dynamically contribute to processing and learning in adults, children and aphasic patients in contexts representative of everyday conversation. We collect and annotate a corpus of naturalistic language which is then used to derive quantitative informativeness measures for each cue and their combination using computational models, tested and refined on the basis of behavioural and neuroscientific data. We use converging methodologies (behavioural, EEG, fMRI and lesion-symptom mapping) and we investigate different populations (3-4 years old children, healthy and aphasic adults) in order to develop mechanistic accounts of multimodal communication at the cognitive as well as neural level that can explain processing and learning (by both children and adults) and can have impact on the rehabilitation of language functions after stroke.

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The information about "ECOLANG" are provided by the European Opendata Portal: CORDIS opendata.

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