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Formality is an important dimension of language style. Texts of different genres tend to have different degrees of formality. F-score (formality-score) is a most popular measure for formality to differ genres. It uses a method of combining proportions of words of different types, with nouns, adjectives, articles and prepositions as positive elements, and(More)
This paper compared the linguistic and psychological word uses in English and Chinese languages with LIWC (Linguistic Inquiry and Word Count) programs. A Principal Component Analysis uncovered six linguistic and psychological components, among which five components were significantly correlated. The correlated components were ranked However, the results(More)
In intelligent tutoring systems with natural language dialogue, speech act classification, the task of detecting learners' intentions, informs the system's response mechanism. In this paper, we propose supervised machine learning models for speech act classification in the context of an online collaborative learning game environment. We explore the role of(More)
Classification of underwater acoustic signal is one of the important fields of pattern recognition. Inspired by the experience of training man experts in sonar, we propose a two-phase training algorithm to exploit the association rules to reveal the understandable intrinsic rules contributing to correct classification in the known misclassification datasets(More)