Objectif Languages always change, and existing words are constantly combined into novel combinations such as ‘trout pout’ or ‘bucket list’. Surprisingly, little is known about the actual processes and resources humans use to understand these novel combinations. This project will investigate a central question in the field of linguistics, namely the extent to which people rely on inherent meanings of words in combination (lexical semantics), compared with the extent to which they infer meaning from context (pragmatics). The interdisciplinary nature of the project is strong. It will use a combination of psycholinguistic techniques, with big data from corpus linguistics to empirically test hypotheses derived from state-of-the-art accounts in theoretical linguistics. Firstly, a questionnaire study will establish the extent to which people vary in their interpretation of different noun-noun combinations, and what determines the degree of variation. The study will innovatively use a large semantically annotated dataset to generate representative experimental items. Secondly, advanced eye-tracking technology will be used to investigate how these combinations fare when presented in contexts that either support or do not support a dominant interpretation. Together, the results of the two studies will shed light on the balance of word meaning and context in the interpretation of new combinations and either confirm or refute the underlying assumptions of competing semantic theories. The results will be of benefit in applications such as the automatic processing and translation of human language, and the assessment of misleading language usage, e.g. in advertising. They will also benefit theoretical linguists and psycholinguists, by showing how insights from each area can fruitfully be applied to the other. For the researcher, the project offers an invaluable opportunity to train in cutting-edge empirical techniques and gain skills in public engagement and research communication. Champ scientifique lettreslangues et littératureétude générale des langueslettreslangues et littératurelinguistiquesciences naturellesinformatique et science de l'informationbases de donnéessciences naturellesinformatique et science de l'informationscience des donnéesmégadonnéessciences socialespsychologiepsycholinguistique Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Thème(s) MSCA-IF-2016 - Individual Fellowships Appel à propositions H2020-MSCA-IF-2016 Voir d’autres projets de cet appel Régime de financement MSCA-IF-EF-ST - Standard EF Coordinateur ANGLIA RUSKIN UNIVERSITY HIGHER EDUCATION CORPORATION Contribution nette de l'UE € 97 727,40 Adresse Bishop hall lane CM1 1SQ Chelmsford Royaume-Uni Voir sur la carte Région East of England Essex Heart of Essex Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Autres sources de financement € 0,00
