Language Differences between British and American Cultures: "Parting Ways" from Spelling, Pronunciation to Vocabulary

With the increasing demand for English learning and cross-cultural communication around the world, the differences between British English and American English in spelling, pronunciation and vocabulary usage have brought learners misunderstandings and communication errors. Existing language learning and assessment methods mostly focus on grammatical structures and ignore pragmatic details and cultural background differences, making it difficult to achieve accurate language style recognition and situational adaptation. To this end, this paper introduces an intelligent perception mechanism that integrates an artificial intelligence speech recognition system with an Internet of Things interactive platform. Through a multidimensional perception model, learners' behavioral responses in different language tasks (such as speech imitation accuracy, spelling error correction rate, pragmatic understanding errors, etc.) are collected, and semantic recognition and contextual reasoning algorithms are combined to monitor the process and conduct real-time feedback regulation. Through a four-stage empirical experiment, including vocabulary recognition, spelling perception, speech imitation, and pragmatic selection tasks, a detailed indicator control model is established. Participants showed some understanding bias when faced with differences in British and American expressions, especially when it came to idioms and colloquial expressions. D003 performed best, selecting 9 expressions correctly and only misunderstanding once, indicating that he has a strong ability to adapt to the context of British and American languages. C005 achieved the highest accuracy (95%) in American imitation, with an r sound recognition rate of 98%, showing a high degree of adaptability to American speech.