Natural Language Processing and Deep Learning in Cross-Cultural Language Acquisition: From Machine Translation to Cultural Context Understanding

Our research examines how Natural Language Processing and Deep Learning methods help learners better understand foreign languages and cultures. Our research showed that advanced language technology tools including machine translation speech recognition and sentiment analysis help students learn both language skills and cultural understanding better. Our research team tested 100 participants across English, Chinese, and Spanish with 50 participants in each group. The experimental group studied with NLP and DL platform-based language learning platforms but the control group used traditional education methods. Researchers tested cultural knowledge and language skills for 12 weeks by giving tests before and after the experiment. The experimental group made better progress in speaking English (35%) and understanding Chinese culture (45%) compared to the control group. The learning system used NLP and DL tools to provide real-time feedback and context analysis which improved both the personalization and depth of the educational experience. These technologies show how they can enhance language and cultural learning in modern education so students benefit from them.