In some text generation tasks, a model must replace a single placeholder token with a sequence of multiple words of unknown length. This challenge is often compared to 'fertility modeling' from traditional machine translation, where a model must decide how many words in a target language correspond to a single word in the source language. Critically evaluate this analogy. In your response, discuss at least one major strength and one significant limitation of this comparison.