The existence of machine readable text makes possible the development of new techniques that assist the literary scholar in locating interesting passages of text. In this paper we explore in a preliminary manner the possibility of adapting techniques developed in the field of document retrieval to the full text context. As an alternative to the conventional Boolean logic based approaches, we co...

Traditionally, text collections are represented as text files with some kind of markup to define extra-textual information, like metadata, annotations, etc. We propose an approach which uses the natural structure of a literary text to build specialized objects abstractions on text collections, objects which can be used to make non-hierarchically nested, multi-level annotations, to create comple...

To plagiarise is to robe credit of another person’s work. Particularly, plagiarism in text means including text fragments (and even an entire document) from an author without giving him the correspondent credit. In this work we describe our first attempt to detect plagiarised segments in a text employing statistical Language Models (LMs) and perplexity. The preliminary experiments, carried out ...

Zeidari Nasavi’s Nafsat al-Masdoor is one of the few works which are written in technical prose and mainly aim at conveying meaning rather than affection. Considering the emotional strain of his literary text, Zeidari believes music has the highest effect on conveying the feeling, and in various ways, including the use of elements of prosody, literary figures, and the selection and arrang...

For the past eighteen months, the eResearch Lab at the University of Queensland has been working with the Australian Literature community on the Aus-e-Lit project. Aus-e-Lit is a cross-disciplinary collaboration that is developing eResearch tools for scholars of Australian literature who are members of the AustLit consortium. The AustLit Web portal provides access to a comprehensive bibliograph...

Literary analysis, criticism or studies is a largely valued field with dedicated journals and researchers which remains mostly within the humanities scope. Text analytics is the computer-aided process of deriving information from texts. In this article we describe a simple and generic model for performing literary analysis using text analytics. The method relies on statistical measures of: 1) t...

We present a dataset of manually annotated relationships between characters in literary texts, in order to support the training and evaluation of automatic methods for relation type prediction in this domain (Makazhanov et al., 2014; Kokkinakis, 2013) and the broader computational analysis of literary character (Elson et al., 2010; Bamman et al., 2014; Vala et al., 2015; Flekova and Gurevych, 2...

Why do we read literary texts closely? There are plenty of other things to do with literary texts, many of them more fun, some of them even interesting. But the interesting ones, though they may help us in our close reading, or may indeed challenge, limit, or secure its conditions of possibility, belong to other disciplines: psychology, linguistics, sociology of art, anthropology, area studies,...

We present a deterministic sieve-based system for attributing quotations in literary text and a new dataset: QuoteLi31. Quote attribution, determining who said what in a given text, is important for tasks like creating dialogue systems, and in newer areas like computational literary studies, where it creates opportunities to analyze novels at scale rather than only a few at a time. We release Q...