1. Introduction This paper reports on interdisciplinary work carried out for the Palimpsest project, focusing on mining literary works set in Edinburgh, a UNESCO City of Literature. 2 The project's aim is to use text mining to scour accessible literary works and find those mentioning Edinburgh or places within it. We ground " loco-specific " passages of text by identifying their latitudes and l...

The present quasi-experimental study mainly investigates the role of literature as input for reading comprehension in Iranian EFL classrooms. To be more exact, it investigates the effects of authentic and simplified literary texts on the reading comprehension of Iranian advanced EFL learners. The participants were 35 male and female Iranian EFL learners who were at advanced level, studying in a...

We consider several types of literary-theoretic approaches to literary text analysis; we describe several concepts from Computational Linguistics and Artificial Intelligence that could be used to model

Researchers in the (digital) humanities have identified a large potential in the use of automatic text analysis capabilities in their text studies, scaling up the amount of material that can be explored and allowing for new types of questions. To support the scholars’ specific research questions, it is important to embed the text analysis capabilities in an appropriate navigation and visualizat...

Structural and also other formal differences between the translated text original work are analyzed in article. Contradiction meaning has been revealed due to impossibility of translating individual elements which is recognized as inevitable conditions ethnocultural specificity, sets expressive means peculiar different languages. Moreover personality a translator, his experience skills affect c...

Many existing approaches for measuring text complexity tend to overestimate the complexity levels of informational texts while simultaneously underestimating the complexity levels of literary texts. We present a two-stage estimation technique that successfully addresses this problem. At Stage 1, each text is classified into one or another of three possible genres: informational, literary or mix...