Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-03 Cooperative journals: 《计算机应用研究》
Abstract: Due to the low accuracy of Kazakh parsing and the lack of correlation research based on neural network Kazakh parsing. This paper focused on the parsing of Kazakh phrase structure, based on the shift-reduce method, but by the stack elements were sentence spans rather than partial tree, then it didn’t need to carry out the binary tree in parsing. It also used the bi-directional LSTM to extract the features of sentence span, and obtained the sentence span in the whole sentence context, using the multilayer perceptron to train the parsing model. In the end, the Kazakh parsing accuracy has been achieved 76.92%. The research results have improved the accuracy of Kazakh parsing and build a good foundation for Kazakh machine translation and semantic analysis.