We present a method for authorship discrimination that is based on the frequency of bigrams of syntactic labels that arise from partial parsing of the text. We show that this method, alone or combined with other classification features, achieves a high accuracy on discrimination of the work of Anne and Charlotte Brontë, which is very difficult to do by traditional methods. Moreover, high accuracies are achieved even on fragments of text little more than 200 words long.
REF is an example of such a study that is based on bigrams of syntactic labels.
Bigrams of syntactic labels for authorship discrimination of short texts
Literary and Linguistic Computing
Computer Science