I argue that the offense generation pattern of slurring terms parallels that of impoliteness behaviors, and is best explained by appeal to similar purely pragmatic mechanisms. In choosing to use a slurring term rather than its neutral counterpart, the speaker signals that she endorses the term. Such an endorsement warrants offense, and consequently slurs generate offense whenever a speaker's use demonstrates a contrastive preference for the slurring term. Since this explanation comes at low theoretical cost and imposes few constraints on (...) an account of the semantics of slurs, this suggests that we should not require semantic accounts to provide an independent explanation of the offense profile. (shrink)

The availability of large digital archives of historical newspaper content has transformed the historical sciences. However, the scale of these archives can limit the direct application of advanced text processing methods. Even if it is computationally feasible to apply sophisticated language processing to an entire digital archive, if the material of interest is a small fraction of the archive, the results are unlikely to be useful. Methods for generating smaller specialized corpora from large archives are required to solve this problem. (...) This article presents such a method for historical newspaper archives digitized using the METS/ALTO XML standard (Veridian Software, n.d.). The method is an ‘iterative bootstrapping’ approach in which candidate corpora are evaluated using text mining techniques, items are manually labelled, and Naïve Bayes text classifiers are trained and applied in order to produce new candidate corpora. The method is illustrated by a case study that investigates philosophical content, broadly construed, in pre-1900 English-language New Zealand newspapers. Extensive code is provided in Supplementary Materials. (shrink)