Multi-thread Multi-keywords Matching Approach for Uyghur Text

Abstract

Keywords matching is a preliminary means in public opinion analysis. Uyghur language is an agglutinative language, which words can be attaching by suffixes to express different semantic or syntactic in the text. Therefore, traditional matching algorithm can not be applied directly to the Uyghur text due to the Uyghur words have different surface forms in the text. In this paper, we implement a multi-keywords matching algorithm based on automaton for Uyghur text. The algorithm handles the inflection suffixes and the weakening of vowel letter in the word by use of reseverse suffixes automata and weakening of vowel restoration automata. By classification the keywords automata on the first letter of each keyword, a general multi-thread keywords matching approach for Uyghur also be proposed.