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ConfliGram SIGNED

Conflicting Grammars: Gender among bilinguals in Mesoamerica and the Caucasus

Total Cost €

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EC-Contrib. €

0

Partnership

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 ConfliGram project word cloud

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

introduce    typologically    phrases    georgia    assign    el    probing    gap    genders    assignment    bilingual    attitudes    infancy    quality    situations    grammar    natural    purepecha    oacute    cookie    predict    minority    room    lacks    languages    mixed    models    extensive    bridge    deal    investigates    dimensions    english    basis    date    bread    marks    systematically    majority    domain    matrix    data    la    frameworks    display    varies    predictors    run    lesser    distinction    differ    gender    speakers    habitaci    code    animacy    phonology    respect    dominant    naturalistic    understudied    variables    spanish    contrast    vs    georgian    struggle    patterns    noun    individual    comprehension    feminine    batsbi    speak    pan    semantic    minimalist    grammatical    explanatory    mexico    employed    masculine    commonalities    switching    determiner    phrase    bilinguals    pairs    broaden    strategy    mix    social    interaction    strategies    expression    accounts    corpus    inform    language   

Project "ConfliGram" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

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 France [FR]
 Total cost 184˙707 €
 EC max contribution 184˙707 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-07-01   to  2021-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 184˙707.00

Map

 Project objective

Languages differ with respect to the expression of grammatical gender. English lacks a grammatical gender distinction, using the same determiner the for both the room and the bread. Spanish, by contrast, marks gender, as in feminine la habitación ‘the room’ vs masculine el pan ‘the bread’. Bilinguals may speak one language with grammatical gender and one language without. When they mix these languages in the same phrase, known as code-switching, the strategy used to assign gender varies (e.g. el cookie or la cookie are both possible in Spanish-English). Existing accounts predict the language of the determiner in mixed noun phrases, but struggle to predict its gender. This project investigates how speakers deal with this gender assignment, using data from two typologically understudied language pairs: Purepecha-Spanish (Mexico) and Batsbi-Georgian (Georgia). Purepecha and Georgian have no grammatical gender, while Spanish has two genders and Batsbi has five, a more extensive system than any systematically studied to date. I will investigate the role of existing predictors of gender assignment, such as phonology and natural gender, and will introduce new variables, e.g. animacy and semantic domain. On the basis of naturalistic corpus data, I will design and run production and comprehension tasks probing the gender assignment strategies employed, testing the two main explanatory frameworks (Matrix Language, and minimalist). As both situations display patterns of dominant majority-minority language interaction, I will also investigate the social dimensions of code-switching, including behaviour and attitudes, identifying commonalities. This usage-based approach is in its infancy for lesser-studied minority languages, but results in high-quality, comparable data. Such data is necessary to bridge the gap with well-studied language pairs, to broaden our understanding of the individual languages, and to inform current models of code-switching and bilingual grammar.

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