This paper describes a corpus of about 3000 English literary texts with about 250 million words extracted from the Gutenberg project that span a range of genres from both fiction and non-fiction written by more than 130 authors (e.g., Darwin, Dickens, Shakespeare). Quantitative Narrative Analysis (QNA) is used to explore a cleaned subcorpus, the Gutenberg English Poetry Corpus (GEPC) which comp...

Effective presentation of data for decision support is a major issue when large volumes of data are generated as happens in the Intensive Care Unit (ICU). Although the most common approach is to present the data graphically, it has been shown that textual summarisation can lead to improved decision making. As part of the BabyTalk project, we present a prototype, called BT-45, which generates te...

Text similarity is a subject that has received great attention in recent years. However, the application of text similarity tools to Semitic languages such as Arabic faces unique challenges. Moreover, the increasing number of texts being made available online, not only in native languages but also in translation, adds further challenge to identifying similar portions of texts across different d...

This paper describes a corpus of about 3,000 English literary texts with about 250 million words extracted from the Gutenberg project that span a range of genres from both fiction and non-fiction written by more than 130 authors (e.g., Darwin, Dickens, Shakespeare). Quantitative narrative analysis (QNA) is used to explore a cleaned subcorpus, the Gutenberg English Poetry Corpus (GEPC), which co...

How do readers deal with information that is inconsistent with what they know? This question has typically been addressed by examining whether carefully designed texts can help readers revise inaccurate beliefs. However, texts sometimes present incorrect information that runs counter to readers' accurate knowledge. Three experiments were performed to examine how individuals process incorrect in...

Nowadays we are facing a growing demand for semantic knowledge in computational applications, particularly in Natural Language Processing (NLP). However, there aren’t sufficient human resources to produce that knowledge at the same rate of its demand. Considering the Portuguese language, which has few resources in the semantic area, the situation is even more alarming. Aiming to solve that prob...

The non-availability of reliable and standardized drugs, their high cost, and ambiguity in the identity of the ingredients used are a few of the major problems encountered today in the utilization of compound drugs in Ayurveda. There is thus an urgent need to reemphasize the use of single plant drug formulations recorded in the classical texts. The present study is an attempt to list out all th...

1 Abstract This paper reports on a project to annotate biblical texts in order to create an aligned multilingual Bible corpus for linguistic research, particularly computational linguistics, including automatically creating and evaluating translation lexicons and semantically tagged texts. The output of this project will enable researchers to take advantage of parallel translations across a wid...

Most studies within the area of genre analysis, particularly those conducted in Iran, have exclusively used text analysis. While such investigations have led to important understandings of generic features of texts, it can be argued that incorporating interview data for triangulation can lead to better understanding of generic features of texts. Along this line, this paper reports the results o...

We propose a Virtual Reality interface for creating and manipulating textual and hypertextual information. Many current hypertext systems include concept maps in two dimensions. Our system, called the World Processor, offers the user a three-dimensional concept map. It allows the user to move through the map while exploring existing objects and their associated texts and adding new objects and ...