Scenario man-machine dialogue type oral interactive learning method

Abstract

The invention discloses a scenario man-machine dialogue type oral interactive learning method and belongs to the field of language learning. The scenario man-machine dialogue type oral interactive learning method comprises the following steps: S1, placing dialog contents in one or more contextual models to generate trainable spoken contents; S2, starting oral training and entering a man-machine dialogue mode; S3, expressing a previous sentence of the spoken contents in a voice mode, and expressing the content of the next sentence by a user through oral expression according to the expressed content of the previous sentence; S4, collecting, analyzing, scoring and feeding back the content of the next sentence expressed by the oral expression of the user; S5, repeating the steps of S3 and S4 until a scene dialogue is finished, and finishing the oral dialogue training. The spoken language is practiced through the human-machine interaction dialogue to correct and improve the pronunciation standard, thereby improving the oral expression ability and the language application ability, the targeted oral training is carried out in a specific scene, thereby enabling the user to be familiar withand master the oral expression of a certain scene.

Description

technical field [0001] The invention relates to a situational man-machine dialogue oral language interactive learning method, which belongs to the field of language learning. Background technique [0002] Language is one of the important characteristics of a nation, and it is also the most important communication tool for human beings. It is the main way of expression for people to communicate, and it preserves and transmits the achievements of human civilization with the help of language. The learning of existing languages ​​is mostly based on book-based teaching. On the one hand, this learning method is inefficient, and the oral ability cannot be effectively improved, and it is easy to understand but cannot speak; on the other hand, in specific situations Among them, learners cannot carry out targeted learning, and the language expression and expression ability in specific situations cannot be improved. Contents of the invention [0003] The technical problem to be solv...

AI Technical Summary

Problems solved by technology

The existing language learning is mostly based on book teaching. On the one hand, this learning method is inefficient, and the oral ability cannot be effectively improved, and it is easy to understand but cannot speak; on the other hand, in specific situations Among them, learners cannot carry out targeted learning, and the language expression and expression ability in specific situations cannot be improved.

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