With the rapid development of artificial intelligence technology, more and more intelligent algorithms are being applied to corpus mining and KG (Knowledge Graph) construction. As the application fields of artificial intelligence technology, corpus mining and KG construction cannot do without the support of massive data. Therefore, the urgent problem that needs to be solved in English corpus is how to efficiently use artificial intelligence technology to improve its mining efficiency and accuracy, and thus establish a high-quality KG. This article was based on the application innovation of intelligent algorithms in corpus mining and KG construction, and designed a new method for English corpus mining and KG construction based on the fusion of multiple intelligent algorithms. Research has found that by integrating multiple intelligent algorithms for corpus mining, it is possible to extract and extract relevant knowledge such as vocabulary, phrases, and sentence patterns from the corpus. This can improve the efficiency of corpus mining and KG construction, and the highest accuracy of text classification recognition can reach 96.9%. This research achievement can fully leverage the advantages of multiple methods and lay the foundation for the application research and application in natural language processing.