This method provides a principled way to produce utterances matching the linguistic style of a specific corpus (e.g., of an individual author) without any overgeneration phase.
standard PCFG generation methods require a treebank-annotated corpus, and they cannot model context-dependent generation decisions, such as the control of sentence length or the generation of referring expressions.