Implementation of an Intelligent Language Learning System Based on Crawler Technology and Intelligent Voice Q&A Algorithm
In order to solve the problem of difficulty in accessing language learning resources,this study collected and organized language learning resources from the Internet through web scraping technology,and used Bayesian network models for data mining and processing.Combined with deep learning technology,a voice question answering model was constructed,and an intelligent language learning system was constructed based on this.The experimental results show that compared to the web crawling and data collection methods based on R language,the data processing ability score of the research method has been improved by about 24%.The accuracy of the intelligent voice question answering algorithm based on similarity calculation model can reach up to 93%.After using the intelli-gent language learning system for 8 hours,the learning efficiency of volunteers can reach 94%,which is about 19%higher than before using the system.Research has shown that intelligent language learning systems based on web scraping technology and intelligent voice question answering algorithms can help users learn and improve language skills,enhance learning interest and effectiveness.
万方数据
维普
