?
Using TXM Platform for Research on Language Changes over Time: The Dynamics of Vocabulary and Punctuation in Russian Literary Texts
Vestnik Tomskogo Gosudarstvennogo Universiteta, Filologiya. 2021. Vol. 70. P. 69–89.
The purpose of this paper is to test the methodological tools provided by TXM platform for research on dynamics of vocabulary and punctuation marks in diachronic corpora. TXM is a powerful text analysis software which provides both quantitative and qualitative features in a transparent open-source implementation. In this paper, we demonstrate how it can be used for diachronic text research which takes into account some external factors affecting the evident language shifts. The study was conducted on the corpus of Russian Short Stories of the first third of the 20th century. This corpus aims for collecting texts written by the maximum number of Russian writers; it is designed by its developers to become a testing ground for various text computation techniques. The results of this preliminary study show the efficacy of TXM application for research on language dynamics and confirm an obvious chronological trend in the distribution of texts under study. Thus, it was shown that Russian revolution of 1917 did make significant changes in the core vocabulary of prose language understood as well as in the use of punctuation marks. However, no evident opposition was revealed at this level between the war and peace time periods. The methodology presented in this paper may be used both for diachronic studies of literature and for various NLP tasks connected with texts processing and monitoring over time with the aim of revealing linguistic, stylistic and sentiment changes in texts influenced by some external factors.
Language:
English
Joulitov A.K., Lomazova I.A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4(2) P. 215–224
In process mining, DFG (Directly-Follows Graph) models are popular due to their simplicity and clarity. However, if a process is acyclic but contains concurrent events, standard algorithms for discovering DFG models can generate "fake" cycles that do not actually exist in the event log. These cycles hinder the analysis of information processes, significantly reducing the ...
Added: September 24, 2026
Добрина Д. Н., Nesterenko A., Прикладная дискретная математика. Приложение 2026 № 19 С. 151–159
Работа содержит результаты формального анализа криптографических механизмов, входящих в состав проекта методических рекомендаций «Защищенный универсальный протокол передачи данных и управления микросхемой интеллектуальной карты» (протокол SECUNDA). Получена формальная модель и перечень трудноразрешимых математических задач, трудоёмкостью решения которых можно оценить стойкость используемых криптографических механизмов. ...
Added: September 24, 2026
I.I. Sergeev, I.A. Lomazova, Modeling and Analysis of Information Systems 2026 Vol. 33 No. 3 P. 394–419
Object-centric process mining has emerged as a powerful paradigm for analyzing event data involving multiple interacting business objects. Existing discovery techniques often rely on object-centric Petri nets with fixed arc multiplicities, limiting their ability to represent parametric resource consumption and production patterns and to capture quantitative dependencies between interacting object types. In this paper, we ...
Added: September 24, 2026
Ivan Bulychev, Savchenko A., AI 2026 Vol. 7 No. 9 Article 380
Recent advances in large language model (LLM) agents have shown promise for autonomous decision-making in recommender systems. However, existing approaches suffer from two fundamental limitations: flat agent memories that conflate different information modalities and prohibitive computational costs that prevent scaling beyond a few hundred users. We propose Hybrid-GraphRAG, a recommender system that integrates hierarchical agent ...
Added: September 24, 2026
Snegirev A., Sychev S., Futures 2026 Vol. 183 P. 1–22
This study addresses the systemic identification and categorization of risks associated with AI development, arising from tensions between technological evolution and institutional, infrastructural, and economic contexts. Drawing on a constructionist methodology, we interpret technological risks as constitutive elements of expert communities' images of the future. Through in-depth interviews with 100 AI experts, proportionally representing corporate, ...
Added: September 23, 2026
Parshakov P., Paklina S., International Journal of Human-Computer Interaction 2026 P. 1–17
This study examines how emotional tone shapes user preference in human–large language model (LLM) interaction. Drawing on the Computers as Social Actors framework, we treat conversational AI as a social communicator whose affective cues influence user judgments. Using large-scale pairwise preference data from LMSYS Chatbot Arena, we model emotional tone through the Valence–Arousal–Dominance framework and ...
Added: September 23, 2026
Andrabi U., Wadood E., Ojha S. K. et al., IEEE Access 2026 Vol. 14 P. 103358–103375
The emergence of 5G networks, aimed at accommodating diverse service requirements such as enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC), has presented significant challenges in radio resource management and network slicing. In dynamic heterogeneous network systems, traditional heuristics and mathematical programming methods find it challenging to attain scalable multi-objective ...
Added: September 23, 2026
Paklina S., Parshakov P., Elena Rapoport, Scientometrics 2026 P. 1–26
Generative artificial intelligence has become a routine part of academic writing. While much of the debate has focused on questions of integrity and authorship, less attention has been paid to how AI-assisted writing may affect research evaluation itself. This paper asks a straightforward but important question: does the use of LLMs in academic writing change ...
Added: September 23, 2026
Kertesz-Farkas A., Acquaye F. L., Journal of Proteome Research 2026 Vol. 25 P. 3764–3768
Ultimately, most tandem mass spectrometry (MS/MS) proteomics experiments aim to not just detect but also quantify the proteins in a given complex sample. Here, we describe an extension to the Crux MS/MS analysis toolkit to enable label-free quantification of peptides. We demonstrate that Crux’s new quantification command, which is modeled after the algorithms implemented in ...
Added: September 23, 2026
Chermoshentseva K., Человек: образ и сущность. Гуманитарные аспекты 2026 Т. - № 2(66) С. 227–243
The paper focuses on the system of metaphorical images used in modern English-language memoir narratives in prenatal and postnatal discourse. It reveals a set of social representations of pregnancy and childbirth, which act as a modeling factor for the formation of metaphorical images. The purpose of the study is to demonstrate the decisive role of ...
Added: September 22, 2026
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Risk Analysis 2026 Vol. 46 No. 4 P. 1–26
Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data ...
Added: September 22, 2026
Никитенко Д. Ю., RHEMA. РЕМА 2026 № 1 С. 188–207
This study explores a fragment of the accentual system of the Pskov dialect, with data obtained from both a corpus and fieldwork. The focus is on a-stem nouns (1st declension), with the accent types and stress patterns described. The accent types of nouns are presented in tables, while the stress patterns are given in a dictionary format, allowing for a combined approach to describing the dialect’s accentual system. Special attention is paid to stress placement in the accusativus singularis form of a number of words, which in this case ...
Added: September 22, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 855–862
Tasks related to the automation of medical data processing are becoming more urgent. Particular attention is paid to systems for monitoring and analyzing human physiological parameters. Such systems often use specialized sensors to capture biomedical images, such as infrared cameras. This article describes our study of the problem of segmenting the eye pupil and iris ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Optical Memory and Neural Networks (Information Optics) 2024 Vol. 33 P. 424–434
This study explores the development of classifiers for microbial images, specifically focusing on streptococci captured via microscopy of live samples. Our approach uses AutoML-based techniques and automates the creation and analysis of feature spaces to produce optimal descriptors for classifying these microscopic images. This technique leverages interpretable taxonomic features based on the external geometric attributes ...
Added: September 21, 2026
Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1053–1060
This paper presents a novel approach to classification in biomedical imaging, specifically targeting polyp recognition in video endoscopy snapshots. Our method leverages specialized image descriptors to enhance the accuracy and robustness of polyp recognition. By employing these specialized descriptors, we address the challenges inherent in analyzing biomedical images from open datasets. Our approach not only ...
Added: September 21, 2026
Самарин А. В., Торопов А. Г., Савельев А. Г. et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1044–1052
This paper presents a study aimed at improving the detection quality of small-sized microorganisms under challenging microscopic conditions through the application of a lightweight combined image preprocessing model. We focused on the task of detecting diplococci in images obtained through dynamic sample microscopy. The proposed approach employs predefined filters for image preprocessing, combined with the ...
Added: September 21, 2026
Poddiakov A., / Series Social Science Research Network "Social Science Research Network". 2026. No. 7437658.
Clarity of knowledge and reasoning is necessary in many cases. Yet vagueness in scientific thinking related to surprise, curiosity, "ability to engage with not-knowing" (de Freitas) and abductive reasoning is also a crucially important source of scientific creativity which supplements combinatorial logic when dealing with the already known. Starting from studies by C. S. Peirce ...
Added: September 15, 2026
Попова Т. И., Наумова В. В., Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация 2026 Т. 24 № 2 С. 97–111
В работе исследуется язык травмы — вербальные и невербальные стратегии, использованные при описании пережитых трагических событий. На материале интервью бывших заложников теракта в театральном центре на Дубровке (2002) анализируются лексические и хезитационные закономерности, которые могут служить индикаторами рассказа о пережитом трагическом событии, который предположительно отличается от повседневного нарратива. Были использованы такие методы, как составление частотных ...
Added: August 28, 2026
Wiley-Blackwell, 2026.
Applied linguistics research investigates language-related problems that arise in all real-world contexts where languages are learned and used. The second edition of The Encyclopedia of Applied Linguistics is an essential resource that reflects the dynamic growth and interdisciplinary nature of the field. Extensively revised throughout, the Encyclopedia addresses contemporary areas of research such as digital ...
Added: August 23, 2026
Shabanov N., Kuricheva O., Kurbatova J. et al., / Series Working Papers SSRN "Department of Economics Ca’ Foscari University of Venice". 2026.
The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...
Added: August 21, 2026
Belova P., Когнитивные исследования языка 2025 № 1 (62) С. 56–60
This article contains the results of studying the content of SPACE concept in the Russian language consciousness based on the material of literary prose texts of diff erent genres created in the second half of the XXth century and in the XXIst century and presented in th e Russian National Corpus (RNC). The analysis is ...
Added: August 16, 2026
Kanogina P., Когнитивные исследования языка 2026 Т. 2 № 67 С. 118–122
This article is devoted to the study of the conceptualization of city streets in Russian fiction in the second half of the XXth century and in the first quarter of the XXIst century. The analysis of the selected object of open urban space in order to establish the features of its conceptualization was carried out ...
Added: August 16, 2026
Satdarov K., Kharlamova D. S., Yakuboy A. et al., , in: Computational linguistics and intellectual technologies. Papers from the Annual International Conference "Dialogue" (2025)Vol. 23.: [б.и.], 2025. P. 312–321.
This paper presents the development of a comprehensive morphologically annotated corpus for Faroese, a lowresource Germanic language. We describe the creation of a large corpus of contemporary news texts automatically
annotated using a custom-trained SpaCy model. The study demonstrates the effectiveness of creating linguistic re sources for low-resource languages using minimal initial data. We trained a ...
Added: August 6, 2026