重点研究维吾尔语中弱化现象及处理算法,并分析了维吾尔语词法结构,音节结构,词干一词缀连接形式等技术。处理弱化问题时,要根据词干库检查弱化属性,并根据语音和谐规律分析是否正确连接。该算法在文本检索、词频统计、文本校对等研究领域得到很好的应用。运行结果表明该算法具有可行性和有效性,并在实践中不断完善。
This paper discusses the particular phenomenon of vowel weakening in Uyghur and proposes an algorithm to identify the Uyghur vowel weakening based on the analysis of the word structures, syllable structures, combination rules of stem plus suffixes in Uyghur language. To identify the vowel weakening, the algorithm will first locate the property of vowel weakening according to the stem database, and then determine if the stem is correctly associated with a suffix by the phonetic harmony criterion. The algorithm is readily applied in the fields of text retrieval, word frequency calculation and spelling check. The experimental results show that the algorithm is feasible and effective.