A researcher is training a model to reconstruct original sentences from corrupted versions where some words are replaced by a [MASK] token. The training process only calculates an error signal based on the model's predictions for these [MASK] positions. The researcher observes that the model becomes very good at filling in the blanks, but struggles to generate complete, fluent sentences from scratch. Explain why this specific training method might lead to this outcome.