 Many questions arise about what kind of corpus is best suited to the research questions under consideration, as well as what kind of annotation is most appropriate. For example, as Ferreira (2005: 375) points out, some large corpora, insofar as they have not been cleaned of speech errors, provide relevant data for studying the distribution of speech disfluencies. In addition, probabilistic information about the relation between a particular verb and its arguments has been used to show that “verb-argument preferences [are] an essential part of the process of sentence interpretation” (Roland and Jurafsky 2002: 325): acceptability judgments on individual expressions do not provide information about the distribution of a verb and its arguments in various kinds of speech and writing. Studying conveyed meaning in context and identification of speech acts will require a kind of data that decontextualized acceptability judgments do not provide but semantically annotated corpora might.