HUMSENTPROC

Uncovering the nature of human sentence processing: a computational/experimental approach

Coordinatore	UNIVERSITY COLLEGE LONDON    more  Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT contact info Titolo: Ms. Nome: Greta Cognome: Borg-Carbott Email: send email Telefono: +44 20 31083033 Fax: +44 20 78132849
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	179˙603 €
EC contributo	179˙603 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2009-IEF
Funding Scheme	MC-IEF
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-09-01   -   2012-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY COLLEGE LONDON  Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT contact info Titolo: Ms. Nome: Greta Cognome: Borg-Carbott Email: send email Telefono: +44 20 31083033 Fax: +44 20 78132849	UK (LONDON)	coordinator	179˙603.20

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 Obiettivo del progetto (Objective)

'The project’s research objective is to further our understanding of how people process language. This is accomplished by developing and implementing a range of computational models of sentence processing, each embedding different psychological mechanisms. Next, the models' ability to account for a large body of experimental data is evaluated. On the basis of how the model(s) fit the data, we can isolate the most plausible psychological mechanisms for sentence processing. The notion of 'word surprisal' is used to link the models to the data. Formally, word surprisal is defined in terms of informativeness of a word in sentence context. Quantitative measures of surprisal can therefore be extracted from different probabilistic language models. Empirically, surprisal can be viewed as the extent to which the word came unexpected to a reader or listener, having a measurable effect during sentence processing. To capture both aspects of word surprisal, the project combines psycholinguistic experimentation and computational modelling. On the experimental side, word-reading times and ERP data will be collected to obtain measurements of the surprise experienced by readers on encountering words. On the modelling side, several probabilistic sentence-processing models will be implemented to obtain estimates of word surprisal which serve to predict the empirical data. Matching the model's surprisal estimates to the experimental findings will identify the model(s) that provide(s) the most accurate description of human sentence processing. This will inspire the development of a more advanced model that simulates sentence processing more adequately. The main training objective is for the applicant to obtain the necessary knowledge, skills and experience to set up and perform psycholinguistic reading-time and EEG experiments. This complements his current expertise in computational methods, putting him in an ideal position to perform further integrative research in cognitive science.'