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Modelling the Use of Quantifiers in Typical and Atypical Speakers Probabilistically

Subject Area General and Comparative Linguistics, Experimental Linguistics, Typology, Non-European Languages
General, Cognitive and Mathematical Psychology
Term from 2017 to 2023
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 367130212
 
Final Report Year 2024

Final Report Abstract

In the MUQTASP project, we have used theoretical, experimental, and computational methods to study the meaning and use of quantifiers (e.g., ‘some’, ‘most’). The research in MUQTASP has focused on three interconnected issues. First, we have carried out a number of experimental studies that describe and theoretically explain diversity in the pragmatic inferences associated with quantifiers and other scalar words. Furthermore, we have constructed, implemented, and tested computational models that quantitatively connect the meaning and use of quantifiers. Finally, we investigated how pragmatic inferencing with scalar terms relates to variation in the population in autistic traits. Taken together, these three strands of research yield a much better understanding of the connection between the linguistic meaning of quantifiers and the way they are used in actual speech situation, thus synthesising insights from theoretical linguistics and experimental psychology. One surprising new finding was that typicality patterns in the use of quantifiers could be completely explained on the basis of a truth-conditional semantics of quantifiers when it is combined with a pragmatic principles of language use. A second finding was that we found a consistent effect of autistic traits on scalar inferences in language comprehension and use, but that we also saw an effect on presupposition.

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