Out-of-Vocabulary (OOV) refers to words or terms that are not present in a model's training dataset, posing challenges for natural language processing systems in understanding and generating language. Handling OOV effectively is crucial for improving the robustness and accuracy of language models, especially in diverse linguistic contexts.