关键词: 维吾尔语, 自然语言处理, 形态分析, 音变还原, 词干提取, 形态切分

Abstract:

Uyghur has the characteristics of morphological richness, agglutinative and data sparsity. There is a big gap between Uyghur and popular languages such as English and Chinese in processing technologies, which cannot meet the development needs of Xinjiang. Morphological analysis is an important part of natural language processing, and the study of Uyghur morphological analysis is significant to promote the development of Uyghur language information processing technology. This paper introduces Uyghur grammar, describes the research status of Uyghur natural language processing, morphological analysis and their related basic resources, divides common methods into five categories：rule-based, dictionary-based, statistics-based, deep learning-based and hybrid-based, analyzes the advantages and disadvantages of each method, introduces the follow-up research of Uyghur morphological analysis, draws lessons from the advanced lexical analysis methods, finally summarizes the challenges and opportunities faced by Uyghur morphological analysis, and looks forward to its future development trend.

Key words: Uyghur, natural language processing, morphological analysis, phonetic restoration, stemming, morphological segmentation