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Morphology is a linguistic discipline analyzing the internal components of words in expression of syntactical roles. In the case of syntetic languages, the morphemes are the primary tools to determine the meaning of the words. Due to the big variety and irregularity of morphology, it is a big challange in computational linguistics to develop an efficient learning method for induction of morpholological...
The classification process of the Counter Propagation neural network (CPN) is investigated. The homogeneity distribution of the codebook vectors is a key element in the accuracy of the classification process. The paper defines an appropriate homogeneity measure that is strongly correlated with the optimal misclassification error. Based on this homogeneity value, the paper proposes three modification...
Experts should analyse systems in order to define would-be faults in systems. As a result of this analysis, there will be a set of priori known faults supporting off-line teaching of neural networks. Unfortunately, it is impossible to define all faults in the design phase. As a result, a priori unknown faults may appear in systems. A priori unknown faults modify the distribution of the input patterns...
Automated Question Generation is a key component of intelligent tutorial systems. This system combines several distinct tools from very different areas of information technology, among other clustering and classification units. The developed prototype system was tested in a real application with high-school students. The performed tests show that the automatically generated questions are as good as...
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