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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.

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

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 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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