Abstract
This paper presents a new connectionist model of the grounding of linguistic quantifiers in perception that takes into consideration the contextual factors affecting the use of vague quantifiers. A preliminary validation of the model is presented through the training and testing of the model with experimental data on the rating of quantifiers. The model is able to perform the “psychological” counting of objects (fish) in visual scenes and to select the quantifier that best describes the scene, as in psychological experiments.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Rajapakse, R.K., Cangelosi, A., Coventry, K.R., Newstead, S., Bacon, A. (2005). Connectionist Modeling of Linguistic Quantifiers. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_108
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DOI: https://doi.org/10.1007/11550907_108
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