Computational Linguistics and Intellectual Technologies

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Computational Linguistics and Intellectual Technologies

Issue 18. M. : Russian State University for the Humanitie, 2019.

Compiler: V. Selegey

The book includes 61 reports of the International conference on computer and intellectual technology "Dialogue-2019", representing a wide range of theoretical and applied research in the field of natural language description, modeling of language processes, creating practically applicable computer linguistic technologies. For specialists in the field of theoretical and applied linguistics and intellectual technologies.

A Simple Fingerprint Approach to Extracting the Global Prosodic Properties from Field Data

Chechuro I., Lyashevskaya O., , in: Computational Linguistics and Intellectual TechnologiesIssue 18.: M.: Russian State University for the Humanitie, 2019. P. 147–162.

The paper reports a method to create a speaker’s prosodic fingerprint based on the global characteristics of the pitch movement. Prosodic fingerprint is the distribution of f0 in the low, middle, and high ranges and the distribution of pitch movements from one range into other [Šimko et al. 2017]. This fully automated method can be ...

Added: June 12, 2019

A Reusable Tagset for the Morphologically Rich Language in Change: a Case of Middle Russian

Lyashevskaya O., , in: Computational Linguistics and Intellectual TechnologiesIssue 18.: M.: Russian State University for the Humanitie, 2019. P. 422–434.

The paper discusses the standardization efforts to create a morphological standard for the Middle Russian corpus, which is part of the historical collection of the Russian National Corpus (RNC). To meet the needs of different categories of corpus researchers as well as NLP developers, we consider two styles of the morphological annotation (RNC schema and ...

Added: June 12, 2019

Research target: Philology and Linguistics Computer Science

Priority areas: humanitarian IT and mathematics

Language: English

Text on another site

Keywords: natural language processing language modeling language theory intellectual technologies natural language description

Computational Linguistics and Intellectual Technologies

Comparative Study of Training Methods and Architectures of Echo State Networks

Androsov I., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 3 P. 87–114

This paper examines echo state networks (ESNs), one of the most prevalent approaches to implementing reservoir computing. An ESN consists of a recurrent neural network with fixed (untrained) weights and a readout layer that is typically linear and trainable. This approach enables the creation of energyefficient and computationally efficient neural networks capable of real-time learning. However, since ...

Added: May 26, 2026

Лингвистический анализ рекламы парфюма в англоязычном и русскоязычном дискурсах

Gabrielova E., Шевякова Ю. С., Вестник Удмуртского университета 2026 Vol. 36 No. 2 P. 344–354

In today's globalized world, the effectiveness of sales and the success of products largely rely on well-crafted advertising texts. Influenced by this factor and the growing competition, advertising continuously evolves, incorporating various linguistic, psychological, and cross-cultural techniques. This study focuses on the linguistic and stylistic analysis of perfume advertising texts within English and Russian discourses, ...

Added: May 25, 2026

Рефакторинг исходного кода на основе LLM и расширения UML

Караваева Е. А., Кулигин Л. А., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 67–94

В статье представлен метод рефакторинга исходного кода на основе интеграции большой языковой модели (LLM) и расширенной UML-модели программного кода. Предложенный подход позволяет выявлять проблемные участки кода с использованием функций тревожности и структурных метрик классов, а затем выполнять автоматизированный рефакторинг. Ключевой особенностью метода является использование LLM для генерации формальных спецификаций на языке OCL (Object Constraint Language), ...

Added: May 24, 2026

On the Curse Formula in Wʿzb’s Inscription (RIÉ 192 B, ll. 5–9)

Bulakh M., Aethiopica 2025 Vol. 28 P. 39–52

The article deals with the curse formula belonging to the sixth-century inscription by an Aksumite king Wʿzb (RIÉ 192 B, ll. 5–9). After summarizing the extant interpretations, the author proposes a new reading and interpretation, arguing that the text under scrutiny follows the same pattern and employs the same rhetoric devices as the curse formulas ...

Added: May 23, 2026

Practicamos el Subjuntivo

Bocharov Y., M.: -, 2025.

This textbook is designed for students improving their Spanish proficiency at levels B1-B2. It consists of five topics and a selection of texts to reinforce them. The first topic covers the morphology of the four tenses (present, perfect, imperfect, subjunctive perfect) and exercises on the formation of forms. The remaining topics are devoted to exploring ...

Added: May 23, 2026

Coping with AI errors with provable guarantees

Tyukin I., Tyukina T., van Helden D. P. et al., Information Sciences 2024 Vol. 678 Article 120856

AI errors pose a significant challenge, hindering real-world applications. This work introduces a novel approach to cope with AI errors using weakly supervised error correctors that guarantee a specific level of error reduction. Our correctors have low computational cost and can be used to decide whether to abstain from making an unsafe classification. We provide ...

Added: May 23, 2026

Overcoming the Curse of Dimensionality with Synolitic AI

Zaikin A., Sviridov I., Sosedka A. et al., Technologies 2026 Vol. 14 No. 2 Article 84

High-dimensional tabular data are common in biomedical and clinical research, yet conventional machine learning methods often struggle in such settings due to data scarcity, feature redundancy, and limited generalization. In this study, we systematically evaluate Synolitic Graph Neural Networks (SGNNs), a framework that transforms high-dimensional samples into sample-specific graphs by training ensembles of low-dimensional pairwise ...

Added: May 23, 2026

Stable On-the-Fly Learning for Dynamic Neural Networks With Delayed Inputs

Kibkalo Vladislav, Chertopolokhov V., Mukhamedov A. et al., IEEE Access 2026 Vol. 14 P. 14369–14392

This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...

Added: May 22, 2026

Опыт применения сетевого анализа (SNA) в историческом нарративе полисубъектного региона (на примере валлийской хроники Brut y Tywysogyon)

Loshkareva M. E., Matveeva N., Вестник Томского государственного университета. История 2026 № 100 С. 112–118

This research is an endeavor to apply social network analysis (SNA) to the study of a medieval narrative source. The authors suppose that the use of network analysis may offer new possibilities in the study of the history of regions characterized by some political fragmentation. Authors tried to construct networks of historical interactions from 1193 ...

Added: May 22, 2026

Эстетика аудиовизуальной журналистики. Учебное пособие. 2-е издание

Novikova A., Бережная М. А., Кирия И. В., КноРус, 2026.

The aesthetics of journalism is substantiated as a necessary component in the professional training of specialists in audiovisual media. The factors and trends of historical and current changes in the aesthetics of journalism are presented, and the aesthetic practices of audiovisual journalism are characterized in terms of their social functioning. Criteria for aesthetic evaluation are ...

Added: May 22, 2026

ML-based Fast Simulation of FARICH Responses

Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.

A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...

Added: May 19, 2026

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)

Rabat: Association for Computational Linguistics, 2026.

Added: May 19, 2026

Dataset of solubility values for organic compounds in binary mixtures of solvents at various temperatures

Bezzubov S., Malikov D., Krasnov L. et al., Scientific data 2026 Vol. 13 Article 727

Solubility is a crucial property of organic compounds, impacting their potential applications in synthetic chemistry, materials science and drug design. Moreover, in technological processes mixtures of solvents are often utilized, making the solubility assessment more complicated. Predicting solubility values in mixtures of solvents from a molecular structure can help to address this issue, although a ...

Added: May 19, 2026

Aerokinesis: An IoT-Based Vision-Driven Gesture Control System for Quadcopter Navigation Using Deep Learning and ROS2

Pikalov V., Meshcheryakov V., Kondratev S. et al., Technologies 2026 Vol. 14 No. 1 P. 1–27

This paper presents Aerokinesis, an IoT-based software–hardware system for intuitive gesture-driven control of quadcopter unmanned aerial vehicles (UAVs), developed within the Robot Operating System 2 (ROS2) framework. The proposed system addresses the challenge of providing an accessible human–drone interaction interface for operators in scenarios where traditional remote controllers are impractical or unavailable. The architecture comprises ...

Added: May 19, 2026

Aerokinesis: An IoT-Based Vision-Driven Gesture Control System for Quadcopter Navigation Using Deep Learning and ROS2

Kondratev S., Yulia Dyrchenkova, Georgiy Nikitin et al., Technologies 2026 Vol. 14 No. 1 Article 69

Added: May 19, 2026

Parallel Computational Technologies. PCT 2025

Springer, 2025.

This book constitutes the refereed proceedings of the 19th International Conference on Parallel Computational Technologies, PCT 2025, held in Moscow, Russia, during April 8–10, 2025. The 31 full papers included in this volume were carefully reviewed and selected from 122 submissions. These papers were organized under the following topical sections: High Performance Architectures, Tools and Technologies; ...

Added: May 18, 2026

Juxtapositional vs. possessive-like encoding in Russian specificational constructions

Logvinova N., Russian linguistics 2026 Vol. 50 Article 11

This paper presents the first in-depth corpus-based study of a previously overlooked syntactic variation in Russian: the competition between juxtapositional (Nominative) and possessive-like (Genitive) encoding of the second noun (the term) in specificational constructions (e.g., ponjatie čest’ (notion.NOM honor.NOM) vs. ponjatie česti (notion.NOMhonor.GEN) ‘the notion of honor’). While typological research has established cross-linguistic preferences for one encoding strategy over another, intralinguistic variation ...

Added: May 18, 2026

KMHCR: A Key-Controlled Signal-Domain Transformation for 5G IoT Security

Ronglin Z., Wei L., Jiahong C. et al., Journal of Signal Processing Systems 2026 Vol. 98 Article 31

To address the need for lightweight and low-latency protection in massive resource-constrained 5G Internet of Things (IoT) systems, this paper proposes Key-Controlled Modulation Hopping and Constellation Rotation (KMHCR). KMHCR is designed as a physical-layer confidentiality-enhancement mechanism that avoids bit-wise full-payload encryption in the protection pipeline. It uses a shared key derived from channel-reciprocity secret key ...

Added: May 16, 2026

FOCUS ON VOCABULARY Экономика материальных и нематериальных активов: корпусный словарь и ИИ-упражнения по английскому языку

Gorina O. G., Kucherenko S., Larisa K. et al., St. Petersburg: Asterion, 2026.

This textbook is an integrated teaching and learning resource for English for Specific Purposes (ESP) in the field of economics of tangible and intangible assets. Its design employs (i) modern corpus linguistics methods, including frequency analysis and keyword extraction based on authentic texts reflecting current trends in professional discourse, and (ii) artificial intelligence technologies for ...

Added: May 16, 2026

DPN Verifier: A Toolkit for Faster Soundness Verification and Repair of Process Models with Data

Suvorov N. M., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 3(2) P. 49–66

Data Petri Nets (DPNs) extend classical Petri nets to model processes where data directly influences control-flow, enabling a comprehensive view of system behavior and possibility to detect failure points that could otherwise be hidden. Soundness is a correctness criterion that captures such failure points as deadlocks and livelocks as well as model boundedness and absence ...

Added: May 16, 2026

КОГНИТИВНО-АССОЦИАТИВНОЕ ПОЛЕ ОНИМОВ САНКТ-ПЕТЕРБУРГА И ВЕНЫ

Зелинская Ю. Ю., Когнитивные исследования языка 2025 № 4(65) С. 180–186

The article focuses on the study of the onym as a cognitive stimulus that facilitates the decoding of the language of urban space across two ethnic groups. The research is grounded in the analysis of results from an onomastic associative experiment, aimed at identifying the dominant types of associative responses to anthroponyms, oikodonyms, hodonyms, and ...

Added: May 16, 2026

Natural hazard database from Internet publications: text mining with a large language model

Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.

Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...

Added: April 28, 2026

Школьный литературный канон эмиграции 1918–1939 гг.

Strizhkova D., / Институт русской литературы (Пушкинский Дом) РАН. Серия B001 "Репозиторий открытых данных по русской литературе и фольклору". 2026.

В базе данных представлена роспись русскоязычных литературных произведений и отрывков, напечатанных в учебниках по словесности, хрестоматиях, книгах для чтения, сборниках стихотворений и рассказов, выходивших во Франции, Германии, Латвии, Эстонии, Болгарии, Сербии в период первой волны русской эмиграции с 1918 по 1939 гг. Датасет представляет интерес для исследователей школьного литературного канона, эмиграции и детского чтения ...

Added: April 22, 2026

Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...

Added: April 20, 2026