In this paper we present an architecture for generating texts that vary in the emphasis put on conciseness, readability and the marking of particularly salient items. We abandon the traditional pipeline architecture, and use an integrated approach which makes the search for an optimum text explicit, taking into account both inter-sentential and intra-sentential features. We describe a context s...

In this paper, we present a novel steganographic technique for hiding data in a kind of PDF texts. We first point out the secret channels in a kind of PDF English texts, which are generated from documents that make the texts justified to occupy the full line width and position each character individually. In succession, we describe our steganographic system PDFStego in which several strategies ...

Any study of standards is complicated by the existence of numerous meanings of the term, which are often used virtually interchangeably. A few of these uses are most relevant to this book. It appears that the term fi rst came into general use in English at the Battle of the Standard in 1138. According to a contemporary observer, Richard of Hexham ([1138] 1988, 67), in this battle between the En...

While several self-indexes for highly repetitive texts exist, developing a practical self-index applicable to real world repetitive texts remains a challenge. ESP-index is a grammar-based self-index on the notion of edit-sensitive parsing (ESP), an efficient parsing algorithm that guarantees upper bounds of parsing discrepancies between different appearances of the same subtexts in a text. Alth...

This article presents a study on the synchronic distributions of interpersonal metaphors modulation based British National Corpus (BNC). The research reveals that are mode-sensitive to written texts. Regarding genre distribution, metaphorical obligations driven by explicit orientation dominate fiction In contrast, objective drives be more prevalent in academic texts or technical genres. inclina...

The Compact Trie method for document clustering is sensitive to the kind of text it is applied to, but contains various parameters that may be tuned for adaptation to specific applications. We implement a genetic algorithm for optimizing these parameters and apply it to a corpus of texts to demonstrate the feasibility of using genetic algorithms for tuning.

historians seek to learn the nature of the young Scots doctors who came in droves to England throughout the hundred years straddling the first World War, this autobiography will be essential reading. When Sydney Laird's generation was at its most clinically active, a venereologist was jokingly defined as a doctor with many acquaintances but few friends. The joke stops here. My abiding memory of...