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This paper presents a novel text-independent pronunciation evaluation method. The method aims at testing the mandarin Putonghua pronunciation proficiency of the dialectal speakers from every area of China. In the proposed method, 5 pronunciation proficiency levels are assigned for each phone; accordingly, 5 Single Gaussian classifiers are created to represent the 5 levels for a phone. 4 phone-level...
Arabic Documents Clustering is an important task for obtaining good results with the traditional Information Retrieval (TR) systems especially with the rapid growth of the number of online documents present in Arabic language. Document clustering aims to automatically group similar documents in one cluster using different similarity/distance measures. In this paper, we evaluate the impact of the stemming...
To assign an unlabeled text document into more than one appropriate category, a novel text multi-categorization method based on fuzzy correlation analysis is proposed in this paper. A fuzzy simple correlation analysis show the strength and the direction of linear relationship between two fuzzy attributes, which is useful for us to analyze the relationships between the unlabeled text documents and...
Text classification is an active research area in information retrieval and natural language processing. A fundamental tool in text classification is a list of 'stop' words(stop word list) that is used to identify frequent words that are unlikely to assist in classification and hence are deleted during pre-processing. Till now, many stop word lists have been developed for English language. However,...
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