SOFTWARE STYLISTICS

Stylistics: Corpus Approaches

Stylistics, which may be defined as the study of the language of literature, makes use of various tools of linguistic analysis. Corpus linguistics is opening up new vistas for the study of language, and there are interesting similarities in the approaches of stylistics and corpus linguistics. Stylistics is a field of empirical inquiry, in which the insights and techniques of linguistic theory a...

Towards an integrated corpus stylistics

Over recent years, the use of corpora in stylistic analysis has grown in popularity. However, questions still remain over the remit of corpus stylistics, its distinction from corpus linguistics generally and its capacity to explain complex stylistic effects. This article argues in favour of an integrated corpus stylistics; that is, an approach to corpus stylistics that integrates it with other ...

ASFE-DL: Semantics, Syntaxes and Stylistics (R3)

Computational Stylistics using Artificial Neural Networks

Previous work in using Artificial Neural Networks for computational stylistics has concentrated on using large, arbitrary network structures. This paper examines the use of the Cascade-Correlation algorithm for the construction of minimal networks. We find that a number of problems in computational stylistics with a large number of variables, but a limited number of training examples may be sol...

LEXICALIZING COMPUTATIONAL STYLISTICS For Language Learner Feedback

Computational stylistics refers informally to a collection of tasks within computational linguistics that deal with the style—as opposed to the semantic content—of natural language. The most famous of these tasks is perhaps authorship attribution (Stamatatos et al., 2001), which uses statistical variations in word choice to select the most likely from a fixed set of potential authors. Though ap...