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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Структурные типы инициирующих высказываний политической чат-консультации (на примере немецкого языка)

Вестник Томского государственного университета. 2023. № 493. С. 51–64.
Egorova E. V.

The article examines the types of the speaker’s utterances that start a dialogical communication in a chat in German. The object of the empirical analysis is one of the chat forms – a consultation chat, in which users can ask a question to an invited political guest. The focus is the structural types of utterances to express a question. A speaker’s utterance or a turn starts a conversation in a dialogue and sets a tone for communication. As a research material, 992 initial utterances were collected on the topic “Politics” from the popular German and Austrian web-sites. Besides the method of continuous sampling, the research methodology included the analytical-descriptive method, the method of quantitative analysis, generalization. The following objectives are set in this article: to analyze the characteristics of the speaker’s utterances in this type of dialogue; to determine the structural types of the sentences used in a consultation chat to enquire information; to quantify the types in order to determine the most frequent way to start a conversation online. By classifying the structural types, ways of oral and written language verbalizations were determined. The analysis of the speaker’s utterances in a consultation chat shows that they possess a number of features, which are a result of a clear macro- and micro-structure of this type of text, the order in turn taking controlled by a moderator, predominantly detailed turns, the opportunity to send a question in advance, and many others. The quality analysis of turns shows that they have many characteristics of written language such as long sentences, structures with many objects used one after another, quoting, the rare use of incomplete/elliptical sentences. Some structures, which are widely used in oral speech, are not used in this type of chat. The empirical study shows that the most numerous type of the initial utterances according to their syntactical structure is a complex utterance consisting of declarative and interrogative sentences. The number of these turns is 32.05%. The users need to explain the information (e.g., his/her knowledge on a given topic) in detail, so 53% of complex utterances start with a declarative sentence to establish the common ground. The second most frequent type of utterances is a complex sentence (21.06%). Among the 7 frequently used types of complex sentences, the most common is a complex sentence in the form of an “indirect” question (31% of all complex sentences). It is followed by the pronominal question (15.52% of initial statements), among which a traditional written structure with an interrogative pronoun in the first place prevails (90%). The general question is used in 11.79% of sentences. The least popular initial utterance type to start communication in a chat is the declarative sentence.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Keywords: компьютерно-опосредованная коммуникациянемецкий языкGerman languageвопросительное предложениеcomputer-mediated communicationвопросно-ответное единствоquestion and answer unitdialoginterrogative sentencesconsultation chatinitial utteranceдиалогическая коммуникациячат-консультацияинициирующее высказывание
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