We study perceptions of literariness in a set of contemporary Dutch novels. Experiments with machine learning models show that it is possible to automatically distinguish novels that are seen as highly literary from those that are seen as less literary, using surprisingly simple textual features. The most discriminating features of our classification model indicate that genre might be a confoun...

We study a new context-free computationally simple stylometrybased attributor: the sliced conditional compression complexity (sCCC or simply CCC) of literary texts introduced in [8] and inspired by the incomputable Kolmogorov conditional complexity (KC). Other stylometry tools can occasionally almost coincide for different authors. Our CCCattributor is asymptotically strictly minimal for the tr...

A theory of additive Markov chains with long-range memory is used to describe the correlation properties of coarse-grained literary texts. The complex structure of the correlations in the texts is revealed. Anti-persistent correlations at small distances, L approximately < 300, and persistent ones at L approximately > 300 define this non-trivial structure. For some concrete examples of literary...

Characters form the focus of various studies of literary works, including social network analysis, archetype induction, and plot comparison. The recent rise in the computational modelling of literary works has produced a proportional rise in the demand for character-annotated literary corpora. However, automatically identifying characters is an open problem and there is low availability of lite...

We present in this paper a numerical investigation of literary texts by various well-known English writers, covering the first half of the twentieth century, based upon the results obtained through corpus analysis of the texts. A fractal power law is obtained for the lexical wealth defined as the ratio between the number of different words and the total number of words of a given text. By consi...

This article seeks to contribute to contemporary discussions on the workings of culturalmemory and examines in particular theway inwhich literary texts can function as a social framework for memory.Through a detailed study of the genesis, composition, and long-term reception of Walter Scott’s The Heart of Midlothian (1982 [1818]), I argue that literary texts play a variety of roles in the forma...

Negation is often found more frequent in dialogue than commonly written texts, such as literary texts. Furthermore, the scope and focus of negation depends on context in dialogues than other forms of texts. Existing negation datasets have focused on non-dialogue texts such as literary texts where the scope and focus of negation is normally present within the same sentence where the negation is ...

What is the role of textual features above the sentence level in advancing the machine translation of literature? This paper examines how referential cohesion is expressed in literary and non-literary texts and how this cohesion affects translation. We first show in a corpus study on English that literary texts use more dense reference chains to express greater referential cohesion than news. W...

Literary texts include linguistic form, as well as specialized literary forms (some of which also involve language). Linguistics can offer to literary studies an understanding of these kinds of form, and the ways by which a text is used to communicate meaning. In order to cope with the great variety of creative uses of language in literature, linguistics must acknowledge that some texts are ass...