摘要
为了实现哈萨克语的句法分析,研究概率上下无关文法,结合哈萨克语自身的语法特征得到哈萨克语的概率上下无关文法,获取哈萨克语PCFG参数,结合自底向下的Viterbi算法进行句法分析的歧义消除,进而实现一种有自学习能力的哈萨克语句法分析器,哈萨克语句子分析达到不错的效果。实验结果显示,PCFG模型可以适用于到哈萨克语的句法分析研究。
Introduces the work of Kazakh language in language processing, does the technology research on the construction of corpus annotation of syntax, analyzes the method to study the Kazakh syntax, and combined with the existing parsing model, it can learn that Kazakh proba- bilistic context free grammars from the annoted syntactic corpus, and then puts forward a self-learning Kazakh syntax parser. Experimen- tal results show that it perform well.
基金
现代哈萨克语短语识别及其语块库构建技术研究(No.61063025)
现代哈萨克语句法分析与树库构建关键技术研究(No.61063062)
