The paper deals with the pilot version of the first RST discourse treebank for Russian. The project started in 2016. At present, the treebank consists of sixty news texts annotated for rhetorical relations according to RST scheme. However, this scheme was slightly modified in order to achieve higher inter-annotator agreement score. During the annotation procedure, we also registered the discourse connectives of different types and mapped them onto the corresponding rhetoric relations. In present paper, we discuss our experience of RST scheme adaptation for Russian news texts. Besides, we report on the distribution of the most frequent discourse connectives in our corpus.

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The paper proposes a linguistic approach to studying code-switching in IT discourse of Moscovian IT specialists. The topic is of special interest since nowadays code-switching dominates in a number of professional spheres such as informational technologies, marketing and telecommunications. It also becomes a new language for the modern generation and moreover, a necessary tool for establishing contacts and demonstrating community affiliation. This new code exists not only within workplaces but also beyond them, that is why the aim of the article is to present an in-depth research into how IT discourse shapes Russian digital language on the whole. The methodology used for research is the Matrix Language Frame Model by C. Myers-Scotton (1993). The language units, which are represented by code-switches, are also analyzed in terms of their syntactic, morphological features and pragmatic functions. The research carried among more than 200 IT-specialists provided a thorough understanding of linguistic features and pragmatic functions of the collected code-switches and what is more, proved the impact of the sociolect on the Russian digital language.