Before revision: The goal of unconditional text generation is training a model with real sentences, to generate novel sentences which should be the same quality and diversity as the training data.
After revision: The purpose of unconditional text generation is training a model with real sentences, to generate novel sentences which should be the same quality and diversity as the training data.