There is an urgent need to develop new text mining solutions using High Performance Computing (HPC) and grid environments to tackle the exponential growth in textual data. Problem sizes are increasing by the day by addition of new text documents. Therefore the aim of this work is to lay the foundations for mining large text datasets (i.e. full text articles) in reasonable timeframes. The task o...

Translation can have long-term effects on all languages and cultures. It is not a mere linguistic act, but mostly a cultural act, since language is by nature one of the major carriers of cultural elements. Thus, the translator’s job is not just transferring the meaning of words and sentences from the source text to the target text. Culture-specific items often cause translation problems. Identi...

An unresolved question is how the reported clarity of degraded speech is enhanced when listeners have prior knowledge of speech content. One account of this phenomenon proposes top-down modulation of early acoustic processing by higher-level linguistic knowledge. Alternative, strictly bottom-up accounts argue that acoustic information and higher-level knowledge are combined at a late decision s...

The aim of this paper is to report on a novel text reduction technique, called Text Denoising, that highlights information-rich content when processing a large volume of text data, especially from the biomedical domain. The core feature of the technique, the text readability index, embodies the hypothesis that complex text is more informationrich than the rest. When applied on tasks like biomed...

Suffix arrays are more efficient than inverted files for solving complex queries in a number of applications related to text databases. Examples arise when dealing with biological or musical data or with texts written in oriental languages, and when searching for phrases, approximate patterns and, in general, regular expressions involving separators. In this paper we propose algorithms for proc...