among factors that might manipulate translators’ mind while producing a text is the notion of ideology transmission through text or talk. adopting critical discourse analysis (cda) with particular emphasis on the framework of van dijk (1999), the present investigation is an attempt to shed light on the relationship between language and ideology involved in translation in general, and more speci...

Discourse connectives can often signal multiple discourse relations, depending on their context. The automatic identification of the Arabic translations of seven English discourse connectives shows how these connectives are differently translated depending on their actual senses. Automatic labelling of English source connectives can help a machine translation system to translate them more corre...

We are compiling a corpus of Dutch texts annotated with discourse structure and lexical cohesion, containing initially 80 texts from expository and persuasive genres. We are using this resource for corpus-based studies of discourse relations, discourse markers, cohesion, and genre differences. We are also exploring the possibilities of automatic text segmentation and semi-automatic discourse an...

in order to develop an understanding of the rhetorical conventions in the persian language and to find out the metadiscursive cultural norms of iranian writers in their native language writings, it is necessary to probe into the implicit rhetorical features of academic writing which has so far eluded a comprehensive systematic characterization. metadiscourse marking, which is supposed to be one...

Statement of the problem. The paper discusses multiple deviations science texts in English language written by Russian novice writers from norms and expectations international discourse community. purpose article is to propose a concept utilizing computer linguistics tools automated text analysis for pedagogical purposes identify real needs students writing English. methodology based on contras...

Deep neural networks have shown recent promise in many language-related tasks such as the modeling of conversations. We extend RNN-based sequence to sequence models to capture the long range discourse across many turns of conversation. We perform a sensitivity analysis on how much additional context affects performance, and provide quantitative and qualitative evidence that these models are abl...

Deep neural networks have shown recent promise in many language-related tasks such as the modelling of conversations. We extend RNN-based sequence to sequence models to capture the long-range discourse across many turns of conversation. We perform a sensitivity analysis on how much additional context affects performance, and provide quantitative and qualitative evidence that these models can ca...

Academic discourse enables others' voices in a text to be realized through conventionalized citational patterns. However, form amongst a variety of factors, one thing which may influence the way others' voices are textualized is writers' affiliations to different cultures. Following this assumption, the present contrastive study attempted to explore manifest intertextual constructions across th...

Discourse analysis involves many aspects, such as adjacency pairs, coherence, cohesion, and so on, among which context plays an important role. This paper intends to explore the role of context in discourse analysis on the basis of introducing different definitions and classifications of context.