The aims of this study were to: provide a precise characterisation of spatial category representations in Williams syndrome (WS); to determine the nature of the mechanistic contributions from spatial language performance and non-verbal cognition to spatial category representations in WS; and to explore the stability of spatial category representations in WS using error analysis. Spatial categor...

A large literature shows that language influences cognition. Yet, we know very little about when and how linguistic influences on cognition become important in development. Here we test the proposal that one pathway by which language affects cognition is by activating category information which influences visual processing, and that this influence starts early. Across two experiments, we show t...

It is well known that to be able to represent continuous functions between domain representable spaces it is critical that the domain representations of the spaces we consider are dense. In this article we show how to develop a representation theory over a category of domains with morphisms partial continuous functions. The raison d’être for introducing partial continuous functions is that by p...

Syntactic category ambiguities are very frequent in natural languages, and all architectures of language processing need a mechanism for disambiguating syntactic category ambiguities. Corley and Crocker (2000) suggested that syntactic category disambiguation can be assigned its own module within a modular architecture. We will show that the model defined by Corley and Crocker can account for a ...

Generalised Distributive laws in Computer Science are rules governing the transformation of one programming structure into another. In programming, they are programs satisfying certain formal conditions. Their importance has been to date documented in several isolated cases by diverse formal approaches. These applications have always meant leaps in understanding the nature of the subject. Howev...

Model theoretic semantics (MTS) has a special attitude to describe semantics, to characterize both artificial and natural languages by pure mathematical tools and some of the basic properties of this attitude are disscussed. The arsenal of MTS equipped here with such tools allowing the investigation at such a level of complexity that approximates the real situations. These tools are developed w...

this paper aims at investigating evidentiality in contemporary persian from a typological point of view. first the category of evidentiality and its types in the languages of the world is introduced. gathering and analysing data of spoken and written form of this language as well as classic texts,  an attempt was made to see whether evidentiality exists in this language as a grammatical categor...

The Major Depressive Disorder has been a burden of medical expense in Taiwan as well as the situation around the world. Major Depressive Disorder can be defined into different categories by previous human activities. According to machine learning, we can classify emotion in correct textual language in advance. It can help medical diagnosis to recognize the variance in Major Depressive Disorder ...