Aphasia diagnosis is a challenging medical diagnostic task due to the linguistic uncertainty and vagueness, large number of measurements with imprecision, inconsistencies in the definition of Aphasic syndromes, natural diversity and subjectivity in test objects as well as in options of experts who diagnose the disease. In this paper we present a new self-organized multi agent system that diagno...

although filling the gap in reading comprehension gained momentum with the rise of the top-down approach, vygotsky’ concept of scaffolding and the dual code  theory provided a strong support for the use of paratext to enhance comprehension. scaffolding is dependent on other-regulation, one type of which is object-regulation. from this vantage-point, various types of paratext can function as sou...

This article reports on the findings of a study that investigated the impact of manipulating task performance conditions on listening task performance by learners of English as a foreign language (EFL). The study was designed to explore the effects of changing complexity dimensions on listening task performance and to achieve two aims: to see how listening comprehension task performance was aff...

This paper focuses on the effects of activating expected self as compared to the effects of activating the ought self. The expected self is a component of self-knowledge that pertains to the perception of one's capabilities and potentials. Two experimental studies compared participants' task performance after manipulating the momentary accessibility of the expected self vs. the ought self. In S...

One of the related problems of OCR systems is discrimination of fonts in machine printed document images. This task improves performance of general OCR systems. Proposed methods in this paper are based on various fractal dimensions for font discrimination. First, some predefined fractal dimensions were combined with directional methods to enhance font differentiation. Then, a novel fractal dime...

Current word alignment models do not distinguish between different types of alignment links. In this paper, we provide a new probabilistic model for word alignment where word alignments are associated with linguistically motivated alignment types. We propose a novel task of joint prediction of word alignment and alignment types and propose novel semi-supervised learning algorithms for this task...

This paper describes a prototype of a simulaled physics student that learns by interacting with a human tutor. The system solves physics problems while showing its work on a work· station screen, and the tutor can intervene at cenain points during problem·solving to advise the simulaled studenL This prototype constitutes an initial cognitive task analysis of the skill of learning from a tutor, ...