Analysis of Pronunciation Errors and Correction Strategies in Second Language Acquisition of English

As demand for English as a Second Language grows globally, learners face native language interference, limited phonetic perception, and scarce resources, hence posing key barriers to intelligibility and cross-cultural communication. This study explores the types, causes, diagnosis, and intervention of English pronunciation errors across different native language backgrounds backgrounds, and examines intelligent technologies for personalized correction. By reviewing and analyzing relevant literature, this study summarizes research progress and current teaching practices in second language pronunciation errors. The results demonstrates that traditional teacher-dependent correction methods are limited by delayed feedback and insufficient support for individual differences, whereas emerging technologies such as acoustic analysis, virtual reality, biofeedback, and AI offer feasible approaches for real-time visual diagnosis and targeted correction, thus enhancing learners pronunciation accuracy and speech fluency. This paper further points out that future ESL pronunciation teaching needs to deepen the integration of linguistic theory and technological tools, and build a multimodal and sustainable pronunciation correction ecosystem, to better meet the cross-cultural communication needs of different learners.