Natural language processing method based on learning auxiliary knowledge graph
A technology of natural language processing and auxiliary knowledge, applied in the direction of neural learning methods, electrical digital data processing, special data processing applications, etc., can solve the problems of lack of systematic research on constraints and influences, and the inability to carry out accurate identification, etc., to improve learning push Accuracy, improving efficiency and quality, solving constraints and effects
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[0028] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.
[0029] In this example, see figure 1 with figure 2 As shown, the present invention proposes a natural language processing method based on learning auxiliary knowledge graph, including steps:
[0030] S10, converting the course question text and voice data input by the learner into the internal representation data of the machine, and obtaining the input data;
[0031] S20, accessing the education field knowledge map in the server through edge computing, and with the assistance of the education field knowledge map, parse the input data and obtain language recognition data.
[0032] As the optimization scheme 1 of the above-mentioned embodiment, in the step S10, steps are included:
[0033] Perform voice recognition conversion on the voice data input by the user to obtai...
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