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This paper presents a text query-based method for keyword spotting from online Chinese handwritten documents. The similarity between a text word and handwriting is obtained by combining the character similiarity scores given by a character classifier. To overcome the ambiguity of character segmentation, multiple
, the system carry out conversation with the user to explicitly understand his/her needs and accordingly filters search results for display. The conversation between the system and the user is based on word co-occurrence keyword extraction and Artificial Intelligence Markup Language (AIML) technique. As per initial
With the rapid development of World Wide Web, the Web malicious attackers have taken the initiative jamming in Chinese to transform the form of the key words to be avoided being mined by the software existed. So how to filter the unhealthy Web page quickly and effectively has become the main content of the Web security. Because of the limitation of traditional rigid strings matching on the key words...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.