Masked Language Modeling (MLM) is a self-supervised learning technique used in natural language processing where certain words in a sentence are masked and the model is trained to predict these masked words based on the surrounding context. This approach enables the model to learn bidirectional representations of text, significantly improving its understanding and generation capabilities.