This study describes a new corpus of over 60,000 hand-annotated metadiscourse acts from 106 OpenCourseWare lectures, from two different disciplines: Physics and Economics. Metadiscourse is a set of linguistic expressions that signal different functions in the discourse. This type of language is hypothesised to be helpful in finding a structure in unstructured text, such as lectures discourse. A...

Abstract The current study aimed to compare the influence of explicit versus implicit instruction on EFL learners’ use interactional metadiscourse markers in their writing. also explore perceptions learners these writing classes. 120 female undergraduates who are Arab took part investigation. A mixed-methods research design was adopted with an group, group and a control group. experimental grou...

Since the outbreak of pandemic COVID-19, a huge amount information has been released and shared by individuals, communities specialized organizations. Language serves as powerful tool on which providers depend to convey their advice instructions. In this study, researchers examined frequency interactional metadiscourse markers in WHO's director general's speeches regarding COVID-19 how those ar...

The article focuses on the definition and analysis of communication as a metadiscourse social interactions in terms topological methodology. Socio-cultural transformations that shape model global world change Ukrainian landscape, intensification cross-cultural contacts, international relations, relations communities different levels actualize problem communicative interaction. Globalization pro...

This study investigated metadiscourse and its subcategories in English research articles (RAs) written by nonnative (Iranian) and native English writers from the two disciplines of applied linguistics and civil engineering. The study aimed at seeing whether language and discipline influenced the frequency of occurrence of metadiscourse elements in research articles. To this end, a sample of 120...

This study investigates the relative power and characteristics of a set of social and epistemic terms to distinguish among disciplines of research article abstracts, using a corpus of 928,572 abstracts from 13 disciplines indexed by Web of Science in 2011. Applying the machine-learning approach to discourse epistemetrics using a sequential minimal optimization (SMO) algorithm, and a feature set...