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Building an Open Corpus and a Morphological Parser for Corpus Annotation for Standard Dargwa
Journal of Siberian Federal University. Series: Humanities & Social Sciences. 2024. Vol. 17. No. 5. P. 905–915.
Svetlana Iu. Toldova, Elena O. Sokur
This paper is devoted to the ongoing project of creating a Standard Dargwa Сorpus (Standard Dargwa is a Nakh-Dagestanian language). A pilot version was released in 2022. The paper describes building a fully-functional version of the corpus. First, we describe the pipeline used to develop the corpus. Second, we discuss the procedure of building and enhancing the morphological parser. The parser provides morphological annotation. The layers include the morphemic structure of a word, the grammatical labels of morphemes, the translations of lexemes from the dictionary. Third, we discuss the drawbacks of the parser and ways for overcoming them. Finally, we describe the corpus usage functionality
Kraevskiy A., Sokolovskiy E., Prokhorov A., Emerging Markets Review 2026 No. 74 P. 1–19
Financial markets of emerging economies are vulnerable to extreme and cascading information spillovers, surges, sudden stops and reversals. With this in mind, we develop a new online early warning system (EWS) to detect what is referred to as ‘concept drift’ in machine learning, as a ‘regime shift’ in economics and as a ‘change-point’ in statistics. ...
Added: September 25, 2026
Дубич Е. В., Schagin D., Славянский форум 2026 № 2 (52) С. 560–565
The paper compares HTTP/2 and HTTP/3 for static resource transfer under software-simulated network degradation. The experiment shows that HTTP/3 is not universally faster, but it is more stable as latency and packet loss increase. ...
Added: September 25, 2026
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
Белов В. А., Шао М., Belova V., Русская речь 2025 № 6 С. 7–24
The article is devoted to the semantic derivation of the word
“естественно” (‘naturally’), which in Russian can perform the functions of
an introductory word, an adverb, a predicative and a particle. The aim of
the work is to analyze the semantic and functional changes in the semantic derivation of the word “естественно” (‘naturally’). The material for the
study was ...
Added: January 26, 2026
Богданова-Бегларян Н. В., Попова Т. И., Коммуникативные исследования 2025 Т. 12 № 1 С. 37–53
Статья посвящена описанию опыта систематизации устойчивых неоднословных единиц (УНЕ) из класса конструкций (КС). КС рассматриваются в работе с позиций грамматики конструкций, т. е. в этот класс отнесены все УНЕ, включающие в свой состав не только постоянные компоненты, но и переменные (слоты), которые обозначаются символами Х и Y:
<Х-у не до Y-ка> (мне до вас), <из X-а ...
Added: September 3, 2025
Toldova S., Sokur E., , in: Современная лингвистика: от теории к практике: III Казанский международный лингвистический саммит: (Казань, 14–19 ноября 2022 г.): тр. и матер.: в 3 т.Т. 1.: Каз.: Издательство Казанского университета, 2023.
This paper describes an ongoing project of creating Standard Dargwa Corpus. Dargwa < East Caucasian is one of the written languages of the Republic of Daghestan (Russia). Standard Dargwa is the standardized language used in writing: in the Soviet period it was created based on the dialect of Aqusha. It has official status and is ...
Added: March 12, 2025
Меленченко Максим, Конча Кирилл, Добрушина Нина., В кн.: Songs and Trees: Papers in Memory of Sasha Vydrina.: СПб.: Институт лингвистических исследований РАН, 2023. С. 451–484.
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Added: September 27, 2023
Afanasev I., Babanov A., , in: Literature, Language and Computing: Russian Contribution.: Springer, 2023.
Added: September 15, 2023
Вагизиева Н. А., Махачкала: АЛЕФ, 2021.
The research is a monographic study of the vocabulary and phraseology of the Kadar dialect of the Dargin language. Phoneticmorphological, derivational and inflectional, lexical and phraseological peculiarities of the Kadar dialect of the Dargin language were revealed: the original and borrowed layers of vocabulary are studied and the types of phraseological units, good-wishes, curses of ...
Added: June 5, 2023
Koshevoy A., Panova A., Makarchuk I., , in: Proceedings of the Sixth Workshop on Universal Dependencies (UDW, GURT/SyntaxFest 2023).: Washington: Association for Computational Linguistics, 2023. P. 1–6.
In this paper, we discuss the challenges that we faced during the construction of a Universal Dependencies treebank for Abaza, a polysynthetic Northwest Caucasian language. We propose an alternative to the morpheme-level annotation of polysynthetic languages introduced in Park et al. (2021). Our approach aims at reducing the number of morphological features, yet providing all ...
Added: March 20, 2023