AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS最新文献

The article proposes a method for the alignment of multicomponent terminological units in scientific and technical texts placed in English-Russian parallel corpus. The approaches, methods, software, and levels of text alignment in parallel corpora are analyzed. The linguistic peculiarities of English- and Russian-language terminology influencing the process of alignment of special lexicon, as well as the peculiarities of SimAlign package operation in parallel text processing, are investigated. Two approaches to the alignment of multicomponent terms in a parallel corpus are analyzed. The influence of peculiarities of languages with different grammatical characteristics is shown.

The role and forms of information existence in physical and communication environments are analyzed. It is determined that information is an entity of the second order of complexity, assuming a non–atomic mode of existence, which takes shape in the processes of interaction and which can arise and disappear. By analogy with quantum mechanics, information can be represented as a superposition of possible semantic states of an information object. Information in the processes of storage and transmission exhibits the properties of a macro object, and, in the processes of information interaction with other information objects it exhibits wave properties. Information interaction is a stochastic process involving a physical source/receiver and transmission channels, the form of a message for its transmission and subsequent semantic interpretation in accordance with the domain, and means to determine the pragmatic value, as a result of which not only does the semantic state of the receiver change, but also an information object can also arise as a communicative form of presentation of information. Information interactions are essentially physical interactions that, in addition to the actual pair of interacting objects (including in the form of images), involve circumstances, such as laws and patterns, previous states, concomitant factors, established knowledge, and so on, which are “induced” by input information in the receiver environment.

The author formulates the principles and conditions for a comprehensive systemic representation of a library, based on the analytical description of its generalized functional model. The author presents a library model that combines both various local models of qualitative characteristics and quantitative methods of mathematical modeling. The author provides examples of the strict conclusions of the main quantitative indicators of library activity based on the data of the conceptual models of library activity described verbally.

A case of working with real data from a medical institution to support diagnostic decisions is considered. Various approaches to solving the classification problem are discussed. The paper describes methods of separating patient data into positive and negative outcomes following operations and providing clear, interpretable, explainable, and trustworthy results. Examples of the work of the proposed JSM method on data are given with a demonstration of the result obtained.

In swarm algorithms, the need to measure population diversity arises in various contexts, such as in the adaptation of algorithm parameters, preventing the premature convergence of the algorithm and stopping and restarting it. Measures of population diversity allow the phases of the algorithm, namely, diversification and intensification, to be controlled. The article experimentally investigated six measures of population diversity of the optimization of the swallow swarm algorithm when solving the problem of optimizing the parameters of the membership functions of fuzzy classifiers. The resulting classifiers were tested on publicly available data sets drawn from the KEEL repository.

This paper suggests the direction of the development of a systems approach to the development of information technology of intelligent decision-making support in the management of regional investment and construction projects. The technology under consideration represents conceptual and theoretical statements, language means of artificial intelligence, mathematical apparatus, algorithms, software, and mechanisms of machine learning, dialog communication, and the storage and processing of information, providing the solution of tasks set by the user. Drawing on the principle of compliance with the project management loops and the systemic understanding of the decision-making process, the composition and content of this technology are defined, and the scheme of its development is built.