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The inter-language studies on the textual semantic accessibility scale (SAS) are a new branch of the computational linguistics and the present paper tries to statistically probe into the SASes in English, French and Japanese literature works sampled from the corresponding corpora. Firstly, six control groups are formed by the equidistant texts extracted every 10 pages, 5 pages, 4 pages, 3 pages, 2...
The objective of this study was to determine whether one perceptually dominant channel in carrying emotional cues could be determined among speech, textual content and facial expression. To this end a Wizard-Of-Oz type scenario was used to elicit a corpus of emotional speech and facial expressions from five female speakers. Excerpts from this corpus were then presented to 48 listeners in the various...
The traditional single-document automatic abstracting based on statistical extracts a number of sentences sorted by the importance of the sentences to form summarization, which often neglects semi important topics of the text, and makes the summarization not completely. To overcome this shortcoming, the paper presents an improved k-means algorithm to divide topic in the analysis of text structure...
With rapid development of Internet information, It is quite an important project for data mining that how to classify these large amounts of texts. In this paper, we propose an improved text classify cluster algorithm, while calculating similarity, we synthetically consider the relationship between keywords and eigenvector representation on base of term frequency statistics, thereby it lessens sensitivity...
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