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句子成分分析是自然语言处理研究中的重点和难点。首先陈述现代维吾尔语短语和句子之间的关系、语类间的相互关系等现代维吾尔语单句成分划分问题;其次讨论现代维吾尔语语料库的预处理、短语标记集、句子成分划分基本思路、句子成分分析算法;探索现代维吾尔语谓语的识别算法设计、其他句子成分的识别、自动界定预测算法等研究现代维吾尔语句子成分分析问题;解决现代维吾尔语句子成分分析系统实现、实验数据分析等现代维吾尔语句子成分分析问题。
Sentence component analysis is the key and difficult point in natural language processing research. Firstly, it states the problem of the composition of modern Uyghur language sentences, such as the relationship between modern Uyghur phrases and sentences, the interrelationship between different kinds of languages, and so on. Secondly, the paper discusses the preprocessing of modern Uyghur language corpus, the phrase marker set, the basic idea of sentence composition, Analysis of the modern Uyghur language; to explore the design of modern Uyghur predicate recognition algorithm, the identification of other sentence components, automatic definition of predictive algorithms and other modern Uyghur language analysis of sentence components; to solve the modern Uyghur sentence component analysis system, experimental data analysis and other modern Uyghur Sentence composition analysis problem.