The adaptor grammar framework is a nonparametric extension of probabilistic context-free grammars (Johnson et al., 2007) , which was initially intended to allow fast prototyping of models of unsupervised language acquisition (Johnson, 2008), but it has been shown to have applications in text data mining and information retrieval as well <cite>Hardisty et al., 2010</cite>) .