The concern of this paper is the signalling of segments and relations in written texts. It explores the role of visual formatting and its relation to lexical and other markers. Through a corpus-based study of a specific "text object" definitions in instructional texts, it brings together two models of text structure: RST and the model of text architecture. Unlike RST, this latter model gives a ...

Recently, studies on spoken language in real-life contexts increased dramatically. As a result, some of the features previously considered „empty‟, „superfluous‟ and redundantsuch as sort of, y‟know and well (Goddard and Meanpatterson, 2000, p. 98) now are considered as crucial aspects of interpersonal communication. These expressions called „discourse markers‟ (Schiffrin, 1987) or „pragmatic e...

this paper reports results from a corpus-based study that explored the frequency of words in the abstracts of applied linguistics journal articles. the abstracts of major articles in leading applied linguists journals, published since 2005 up to november 2001 were analyzed using software modules from the compleat lexical tutor. the output includes a list of the most frequent content words, list...

Background The need for competence training and development in health management and leadership workforces has been emphasised. However, evidence of the outcomes and impact of such training and development has not been systematically assessed. The aim of this review is to synthesise the available evidence of the outcomes and impact of training and development in relation to the competence of he...

Computational theories of discourse are concerned with the context-based interpretation or generation of discourse phenomena in text and dialogue. In the past, research in this area focused on specifying the mechanisms underlying particular discourse phenomena; the models proposed were often motivated by a few constructed examples. While this approach led to many theoretical advances, models de...

In this paper, we create meta-classifiers to forecast success in the National Hockey League. We combine three classifiers that use various types of information. The first one uses as features numerical data and statistics collected during previous games. The last two classifiers use pre-game textual reports: one classifier uses words as features (unigrams, bigrams and trigrams) in order to dete...

AbstrAct: The textual content of company annual reports has proven to contain predictive indicators for the company fu­ ture performance. This paper addresses the general re search question of evaluating the effectiveness of applying machine learning and text mining techniques to building predictive mod­ els with annual reports. More specifically, we focus on these two questions: 1) the feasibi...