Natural Language Processing (NLP) is becoming a relevant technology for Internet of Vehicles (IoV), allowing interaction between the vehicle and its users, including passengers and smart vehicular systems, while ensuring seamless interaction. NLP integration enables the vehicle to take up human language commands, and in return provide personalized intuitive user experiences. This interaction supports numerous applications like voice-controlled navigation, real-time traffic updates, and even in-vehicle infotainment systems. Advanced NLP models, which are driven by machine learning and deep learning, support high accuracy in speech recognition, contextual understanding, and sentiment analysis, which enhance the quality of decisions and safety. Furthermore, the use of NLP-based systems in IoV allows for multilingual support, thereby promoting inclusivity for global users. Challenges include latency in processing, noisy environments, and ensuring data privacy. This chapter discusses the role of NLP in changing the face of IoV interactions, recent developments in voice-activated systems, and strategies for overcoming existing challenges to pave the way for more intelligent, user-centric vehicular networks.