👉 In computational linguistics, a telolemma is an artificial language model that utilizes a neural network architecture to learn and generate text. The main characteristic of a telolemma is that it uses a multi-layer perceptron (MLP) as its core component for training, which allows it to mimic the ability of natural language processing systems in generating human-like text.