HSE Moscow offers Russian language instruction throughout the year. If you’re interested in improving your Russian (or starting from scratch), we’re sure you’ll find a programme that matches your level and goals.
How It Works
Applications are processed on a rolling basis and can be submitted at any time
Within two weeks of receiving your application, we will send an acknowledgment of receipt
If you do not hear from us within two weeks of sending, please contact International Admissions
Russian Language Courses
Administration
Olga Eremina
School Head
oeremina@hse.ru
Anastasia Zinchenko
Deputy Head
azinchenko@hse.ru
Student Voices
Publications
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Book
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Article
A corpus-driven approach to teaching academic Russian as a second language
In teaching a language for specific purposes (LSP), a lot of attention is traditionally paid to the lexicon, which often requires a corpus-based approach. The article describes the procedure of creating an academic word list for studying Russian as a second language (L2). It offers an effective way of collecting an academic phrase bank in a specific domain. The article demonstrates typical problems concerning Russian academic vocabulary and the ways of solving them. In this paper, we suggest a methodology for extracting academic vocabulary based on a corpus of up-to-date academic texts of different genres and authors. This study resulted in the creation of an academic word list of economic vocabulary containing about 900 content words. As another applied result, we also present a training platform for L2 academic Russian in the field of economics. The platform allows users not only to explore academic vocabulary in an authentic context, but also to practice it, with or without a teacher. It offers the words and multiword expressions that are the most characteristic in the collected corpus of economic texts. The article contributes both to the field of Russian corpus linguistics and to the teaching of Russian for specific purposes.
Russian linguistics. 2026. Vol. 50.
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Book chapter
Russian for special purposes: Corpus-based approaches to vocabulary selection
This chapter is a pedagogically oriented corpus-based study. It describes a method of selecting relevant vocabulary expressing causal relations in Academic Russian. Our study contributes to the corpus-based investigations of academic Russian texts and shows how computational techniques and language data analysis can be used to develop and simplify content-based and discipline-specific instruction for university courses of Russian for Special Purposes. The proposed list of causal expressions is designed as a part of the Russian Academic PhraseBank – a searchable database of multi-word expressions specific to academic texts and organized by discourse functions. The chapter discusses the structure of the PhraseBank, its pedagogical applications and limitations, with a focus on the learner-friendly and structured representation of the relevant expressions.
In bk.: Teaching Russian Through STEM: Contexts, Tools, and Approaches. Vol. 1st Edition. L.: Routledge, 2024. Ch. 7. P. 159-182.