The majority of functional models language, which purport to account for text, do not recognize the distinct dimension corresponding “discourse”, as conceived here. Instead, various semantic-pragmatic aspects use indexical expressions, in particular, tend be uniquely terms textual environment markers involved. Correlatively, invocation “context” such approaches tends limited essentially co-text...

The Verb Group Traditionally the verb group was studied following the Latin model of analysis, that is, it was classified according to the “tense”: Present Simple, Present Progressive, Past Simple, Past Progressive, Present Perfect, Past Perfect, Future and so on. This type of classification, although familiar to the Spanish learner, is confusing in the sense that it makes each tense an isolate...

Various NLP applications require automatic discourse analysis of texts. For analysis of scientific and technical texts, we propose to use all typical lexical units organizing scientific discourse; we call them common scientific words and expressions, most of them are known as discourse markers. The paper discusses features of scientific discourse, as well as the variety of discourse markers spe...

the condition of postmodern is the condition of our current world, which appeared after technology revolution. it’s a universal progress that forms its special shape according to the culture of each society. the frequent view point says creating postmodernism is an intellectual-cultural movement and appearing its rational effects is actually because of european society disappointment of moderni...

Discourse analysis is increasingly becoming a methodology of preference amongst qualitative researchers. There is a danger, however, of it being viewed as a bounded and uncontested domain of research practice. As discourse analysis is inextricably linked with theoretical issues, it is a dynamic practice that is constantly in a process of revision. In this paper I reflect on some of the conceptu...

We propose a joint model for unsupervised induction of sentiment, aspect and discourse information and show that by incorporating a notion of latent discourse relations in the model, we improve the prediction accuracy for aspect and sentiment polarity on the sub-sentential level. We deviate from the traditional view of discourse, as we induce types of discourse relations and associated discours...