The Faculty of Humanities was created on December 1, 2014. It trains instructors and researchers in the field of language and literature, as well as specialists in philosophy, history, and modern culture.
The main goal of the faculty is to teach students how to understand and analyse various cultural processes, employ current research strategies, and effectively put their knowledge into practice.
The faculty’s staff are leading Russian academics and practitioners from various cultural fields, as well as invited foreign specialists. Students receive a modern education in the humanities, as well as thorough language preparation, which allows them to find extensive professional opportunities upon graduation. Students are given the opportunity to conduct research and gain practical experience at major private and public establishments.
Our strengths:
1. Interdisciplinary approach
We study the humanities alongside other academic fields so that students can apply their skills in various areas.
2. International cooperation
We maintain active international ties, which allows students to undertake internships and study abroad, as well as broaden their outlook and cultural experiences.
3. Research
We encourage and support student participation in research projects. This gives them an opportunity to apply their knowledge in practice and make a contribution to the development of the humanities.
Our graduates pursue careers in public and commercial organisations and various types of mass media. They also implement their own media, cultural, social, and educational projects.
Publications
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Book
ʿAḇdīšōʿ of Gazarta: Patriarch, Poet and Scribe (Texts and Studies in Eastern Christianity, vol. 39). Leiden–Boston, Brill, 2025.
ʿAḇdīšōʿ of Gazarta: Patriarch, Poet and Scribe focuses on the literary legacy of the prominent East Syrian poet and churchman who lived in the 16th century. The role of ʿAḇdīšōʿ of Gazarta for East Syriac ecclesiastical poetry is significant. He was the second patriarch of the Chaldean Church and the founder of its literary tradition.
This book also explores for the first time the manuscript autographs of ʿAḇdīšōʿ of Gazarta, previously unavailable to scholars. In addition, many of this author’s poetic texts are critically published and translated for the first time.Vol. 39. Leiden: Koninklijke Brill NV, 2025.
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Article
The emergence of hierarchical alignment in Northern Khanty: a comparative dialectal corpus study
This study investigates the morphosyntactic coding of core arguments in Northern Khanty, with a
focus on the use of active/passive voice and subjective/objective conjugation. The goal is to offer a
more detailed understanding of the coding patterns across dialects. To achieve this, I analyze corpus
data from four Northern Khanty dialects: Obdorsk, Shuryshkary, Tegi, and Kazym Khanty, using a
dataset of 4,320 transitive clauses from available corpora. These clauses are manually annotated based
on parameters of person, animacy, referential status, and topicality. The analysis reveals that Northern
Khanty exhibits varying degrees of hierarchical alignment across its dialects, forming a gradient from
north to south. Based on this observation, I argue that Northern Khanty historically transitioned from
a nominative/accusative alignment to symmetrical alignment, remnants of which can be observed in
the Obdorsk dialect and in Eastern Khanty. It further evolved into hierarchical alignment, as seen in
the present-day Kazym dialect.Linguistica Uralica. 2025. Vol. 61. No. 2. P. 106-130.
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Book chapter
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Working paper
You shall know a piece by the company it keeps. Chess plays as a data for word2vec models
In this paper, I apply linguistic methods of analysis to non-linguistic data, chess plays, metaphorically equating one with the other and seeking analogies. Chess game notations are also a kind of text, and one can consider the records of moves or positions of pieces as words and statements in a certain language. In this article I show how word embeddings (word2vec) can work on chess game texts instead of natural language texts. I don't see how this representation of chess data can be used productively. It's unlikely that these vector models will help engines or people choose the best move. But in a purely academic sense, it's clear that such methods of information representation capture something important about the very nature of the game, which doesn't necessarily lead to a win.arxiv.org. Computer Science. Cornell University, 2024