Mathematical and Computational Linguistics

Master's Degree Program in Russian

This program provides an opportunity to gain and develop experience in developing and applying instruments for natural language processing. The educational process and internships are organized by interdisciplinary teams that include mathematicians, linguists, programmers, and cognitive scientists. The goal of the program is to prepare specialists in the theory and practice of natural language processing that can work with communicated information in written and oral texts. A fundamental knowledge of the related mathematical and linguistic spheres is considered vital for specialists. The Program goal to create specialists in this field is timely in the context of our modern world with its rapidly growing amount of textual information.

Career opportunities

Program graduates are developing intellectual technologies at IT-companies and academic institutes, working in business ("digital economics') where they are creating systems for semantic search, analysis of textual documents, processing natural language queries, and virtual consulting. The skills acquired by graduates are in demand by mass media and other organizations that need systems for automatic semantic analysis and processing very large amounts of textual data. Graduates are also developing dialogue education systems, and diagnostic and developmental services for people (in particular, children) with language dysfunctions. Graduates can participate in developing language services for "digital medicine", cryptography and information security systems.

IT-companies

Academic institutes

Business

Mass media

Digital medicine

Education

Cryptography

Information security

Study

Duration of Study
Two academic years

Language of Instruction
Russian

Master's Thesis*
*The intended language is Russian however, Master's research may be focused on any language as the research object.

Program Structure

Foreign language (English)

6

Exam

Philosophy

2

Exam

Mathematical logic and theory of algorithms

2

Test

Algebra

2

Test

Theory of probability and mathematical statistics

2

Test

Logical problems of pragmatics

2

Test

Anthropological linguistics

3

Test

Linguistic typology

2

Test

Formal semantics

8

Exam

Methods and algorithms of computer linguistics

2

Exam

Natural language processing

4

Exam

Introduction in computer linguistics

2

Test

Ontological semantics

2

Test

Systems for natural language text and emotional communication processing

2

Test

Semantic modelling

4

Exam

Distributional semantics

2

Exam

Cognitive technologies in linguistics

2

Exam

Applied statistics

4

Exam

Mathematical models and methods of natural language processing and representation

2

Exam

Special seminar

6

Test

Current problems of philology

3

Exam

Quantitative characteristics of poetic texts

2

Test

Training in professionally-oriented discussions

2

Test

Computer technologies in philology

3

Test

Foreign language (English)

6

Exam

Philosophy

8

Exam

Mathematical methods of data analysis

2

Exam

Theory of computation

2

Test

History of mathematics

2

Exam

Applied logics

3

Exam

Theory of error correcting coding

2

Test

Formal semantics

8

Exam

Methods and algorithms of computer linguistics

2

Exam

Natural language processing

4

Exam

Linguistic semantics

2

Test

Introduction in computer linguistics

2

Test

Ontological semantics

2

Test

Systems for natural language text and emotional communication processing

2

Test

Semantic modelling

4

Exam

Distributional semantics

2

Exam

Cognitive technologies in linguistics

2

Exam

Applied statistics

4

Exam

Mathematical models and methods of natural language processing and representation

2

Exam

Special seminar

6

Test

Additional chapters of linear algebra

2

Exam

Methods of discrete modelling

2

Test

Quantitative characteristics of poetic texts

2

Test

Key personnel

Maria Timofeeva
Program Director, Doctor of Science in Philology, Head of the Fundamental and Applied Linguistics Section at the NSU Institute of Humanities, Senior Researcher at the Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences.

Research interests: philosophical and methodological foundations of linguistics, logical problems of semantics and pragmatics of natural language, introspection in linguistics and language, natural and formal languages, functional mathematical models of natural language.

Alexey Stukachev
PhD in Mathematics, Associate Professor at the Discrete Mathematics and Informatics Section at the NSU Department of Mechanics and Mathematics and at the Fundamental and Applied Linguistics Section at the NSU Institute of Humanities , Senior Researcher at the Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences.

Research interests: mathematical logic, theory of computation, model theory, computational analysis, mathematical linguistics (formal semantics, Montague semantics, distributional semantics).

Vladimir Barakhnin
Doctor of Technical Science, Professor at the Mathematical Modeling Section at the NSU Department of Mechanics and Mathematics, Professor at the General Informatics Section at the NSU Department of Informatics, leading researcher at the Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences.

Research interests: informational systems and their models, text processing algorithms, automatic analysis of poetic texts, methodological questions of informatics.

Elena Bruches
PhD student at the A.P. Ershov Institute of Informatics Systems, Siberian Branch of the Russian Academy of Sciences, computer linguist at the "OnPositive" company.

Research interests: natural language processing, machine learning, artificial intelligence.

Eugene Pavlovsky
PhD in Mathematics, Head of the Stream Data Analytics and Machine Learning Laboratory at the NSU Department of Mechanics and Mathematics, member of the Novosibirsk Technopark expert council in Akademgorodok.

Research interests: big data, artificial intelligence, distributional semantics, machine learning.

Dmitry Palchunov
Doctor of Science in Mathematics, Professor, Head of the General Informatics Section at the NSU Department of Information Technologies, leading researcher at the Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences.

Research interests: mathematical logic, Boolean algebra, ontology, knowledge representation, speech acts, fuzzy logic, mathematical models of natural language.

Dmitry Sviridenko
Doctor of Science in Mathematics, Principal Researcher at the Stream Data Analytics and Machine Learning Laboratory at the NSU Department of Mechanics and Mathematics, businessperson, organizer and co-owner of high-tech companies in the fields of digital information and communications technologies.

Research interests: philosophy, methodology, applied mathematical logic. Co-author of the conception and mathematical theory of semantic modeling, developed with Russian Academy of Sciences Academicians S. S. Goncharov and Ju. L. Erschov.

Alexander Savostyanov
Doctor of Science in Philosophy, Professor at the Fundamental and Applied Linguistics Section at the Institute of Humanities and at the General Informatics Section at the NSU Department of Information Technologies, Chief of the Biological Markers of Human Social Behavior Laboratory at the NSU Institute of Humanities of NSU, leading researcher at the State Research Institute of Physiology and Fundamental Medicine.

Research interests: Research interests: human attention, emotions, memory and learning; mechanisms of voluntary motor control and cortex-muscle interactions, EEG correlates of individual psychological traits, cognitive processing theory, wavelet-transformation for EEG analysis, statistical methods for neuroimaging, native and artificial language, brain mechanisms in language recognition, brain-computer interface, philosophy of mind, philosophy and history of science, methodology of science, interactions between antique and modern science.

Practice

During their internships students will participate in projects that are identified by NSU and partner organizations. These organizations include academic institutes and IT-companies, the list of internship partners is open and may be expanded. Internships may include researching theoretical, experimental, or applied problems in the student's area of specialization.