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Titlebook: Saarbrücker Arbeitstagung 1989; Rechnungswesen im Un August-Wilhelm Scheer Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 19

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W. Kraemerecessary by using a stem of the given word to get by the computer all grammatically right word-forms. In case of morphological analysis of Georgian words, it is essential to decompose the given word into morphemes and get the definition each of them. For solving these tasks we have developed some sp
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G. Walker-Rudolf enhanced when hybridized. This contribution presents a combined framework for improving the accuracy of prosodic models. It adopts the Adaptive Neuro-fuzzy Inference System (ANFIS), to offer self-tuned cognitive-learning capabilities, suitable for predicting the imprecise nature of speech prosody.
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R. Schnell enhanced when hybridized. This contribution presents a combined framework for improving the accuracy of prosodic models. It adopts the Adaptive Neuro-fuzzy Inference System (ANFIS), to offer self-tuned cognitive-learning capabilities, suitable for predicting the imprecise nature of speech prosody.
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E. Herzog enhanced when hybridized. This contribution presents a combined framework for improving the accuracy of prosodic models. It adopts the Adaptive Neuro-fuzzy Inference System (ANFIS), to offer self-tuned cognitive-learning capabilities, suitable for predicting the imprecise nature of speech prosody.
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