The invention discloses a syntactic information fused
quantum language model modeling method, which starts from a
quantum system for representing sentences, and introduces
syntactic structure information into a model so as to improve the modeling capability of a
quantum language model. Comprising a data preprocessing and
syntactic structure generation module, a syntactic-guided
word representation module and a semantic and syntactic information fused
sentence representation module. The data preprocessing and
syntactic structure generation module processes sentences into a syntactic structure tree form; the
syntax-guided word vector expression module is used for training word vector expression of words by utilizing
dependency information of each
sentence; a semantic and grammar information fused
sentence expression module converts the word vector generated in the previous step into a
density matrix, and sentence expression guided by
syntax is further obtained and used for training of downstream tasks; on the basis of generation and expression of a syntactic structure tree reconstruction
density matrix, lexical term dependency of sentences is modeled by utilizing dependency relationships.