Research on human-computer interaction language training system integrating attention mechanism and BiLSTM
To improve the accuracy of English language training,a dialogue intention recognition method and system based on at-tention mechanism and BiLSTM are proposed.Firstly,construct a framework for personal computer interactive dialogue language training system;Then focus on designing the natural language understanding module and dialogue management module in the system.Among them,building a language understanding model based on the fusion attention mechanism to improve the ability to recognize language intentions,and proposing a dialogue management method based on slot framework and state machine to improve the flexibil-ity and scalability of system dialogue;Finally,the language understanding model,dialogue management method,and human-ma-chine interaction language training system constructed were tested.The results show that the accuracy of semantic information acquisi-tion in the English course training language understanding model based on the fusion attention mechanism reaches 96.1％;The dia-logue management method based on slot framework and state machine has strong adaptability,simple maintenance,and good scal-ability;All functional modules of the human-computer interaction based language training system can operate normally and meet the requirements of English autonomous training.
interactivelanguage trainingattention mechanismsMajor in Primary English Education
万方数据
维普
