Explore the words cloud of the ModelingCommonGround project. It provides you a very rough idea of what is the project "ModelingCommonGround" about.
The following table provides information about the project.
|Coordinator Country||Germany [DE]|
|Total cost||219˙844 €|
|EC max contribution||219˙844 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2017-09-11 to 2020-09-10|
Take a look of project's partnership.
|1||UNIVERSITAET LEIPZIG||DE (LEIPZIG)||coordinator||219˙844.00|
|2||BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY||US (STANFORD)||partner||0.00|
Language is inherently ambiguous. The meaning of words and sentences depends on the identity of the communicative partners and the nature of the context. In simple behavioral experiments children and adults can use a wide variety of social-contextual cues (jointly known as “common ground”) to interpret ambiguous utterances. But this limited empirical evidence – especially in the developmental context – does not live up to the theoretical importance of common ground: In theory, common ground is not only involved in online language use but it is also a necessary prerequisite to learn language in the first place. Studying the development of children’s ability to form and use common ground is therefore crucial to understand the psychological foundation of language. It is still unknown how both adults and children integrate different social-contextual cues in complex, naturalistic interactions. Bayesian modeling provides a mathematical framework for formalizing theoretical assumptions about this interaction and deriving quantitative predictions about new experimental situations. This project will unite developmental and computational approaches. The key objective is to find out what constitutes common ground at different ages and how it informs language learning across development. I will develop mathematical models and behavioral experiments in parallel to obtain quantitative predictions for different forms of interactions between social-contextual cues. By comparing these predictions to data from early children’s word learning at different stages of development, I will be able to empirically evaluate the theoretical importance of the different components of common ground. The interdisciplinary focus of the project at the intersection of psychology, linguistics and computer science will open up new avenues for the empirical study of language use and language learning.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MODELINGCOMMONGROUND" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (email@example.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "MODELINGCOMMONGROUND" are provided by the European Opendata Portal: CORDIS opendata.
An integrated hypothesis for cognitive and positive symptoms in schizophreniaRead More
Compact all-fibre nonlinear resonators as technological platform for a new generation of miniaturised light sources.Read More
Cholinergic and NMDAR-dependent recruitment of Layer 1 Interneuron shapes cortical motor Processing through network States ModulationRead More