scholarly journals The adventures of the text in digitalization era: ˋˋthe rime of ancient mariner'' by S.T. Coleridge in the classic translation by Nikolay Gumilev and the ˋˋrevelations'' of digital translation

2021 ◽  
Author(s):  
Anna Vladislavovna Lamzina ◽  
Tatyana Leonidovna Pavlova
Keyword(s):  
Neural Network ◽  
Literary Translation ◽  
Silver Age ◽  
Poetic Text ◽  
Limited Application ◽  
The Creation ◽  
General Meaning ◽  
The One ◽  
Self Learning ◽  
Modern Technologies

The possibilities of machine translation in the era of total digitalization seem limitless, however, for poetic text, electronic translation technology has limited application. For the analysis and comparison of machine and literary translation, the text of Coleridge’s 1798 poem “The Rime of the Ancient Mariner” was taken for it uses the theme of the sea, which is extremely important in the poet’s work. This poem was translated by N.S. Gumilev in 1919: the translation was made more than a hundred years after the date of the creation of the original, and the author of the translation had to take into account the context of the creation of the work. The translation generated by modern technologies involves the work of a self-learning neural network which is based on corrections made by users. Online translation technology allows users who believe that the translation is inaccurate to either choose from several proposed options or make their own. On the one hand, due to the constant work of users and their corrections, the translation has the property of self-learning and implies that each subsequent translation is better than the previous one. On the other hand, for texts created 200 years ago, this technology may turn out to be unproductive: most texts translated using an electronic translator are modern, they take into account current realities and contexts of use. To test this hypothesis, an experiment was conducted: translations of the same text by the translator-poet of the Silver Age and the modern electronic translator Google were compared. An electronic translation cannot explicitly take into account the rhythmic structure of the text, the assonances and alliterations used in it, etc., however, it can convey the general meaning of the text, its content. It seems interesting that in the text generated by electronic translation, new semantic connections arise which are absent in the original and in the translation of the poet. Keywords: Translation, neural network, digitalization, Gumilev, Coleridge

scholarly journals Literary and Digital Translation As a Form of Intercultural Communication in the Epoch of Social Transformations

2021 ◽  
Author(s):  
Alyona Aleksandrovna Ustinovskaya
Keyword(s):  
Literary Translation ◽  
Modern Concept ◽  
Original Text ◽  
Silver Age ◽  
Social Transformations ◽  
Poetic Text ◽  
Poetic Translation ◽  
Russian Soil ◽  
Poetic Texts ◽  
Aesthetic Characteristics

This article is devoted to the transformation of models of literary translation in the era of digitalization. The first translations in Russian practice tended to “retell” events, and the text was made “based on” the original rather than being a translation in the modern sense. Examples of such approaches to translation can be seen in the work of V.A. Zhukovsky, A.S. Pushkin and other authors of the early nineteenth century. At the same time, it was at the beginning of the 19th century that the first attempts were made to contrast the translation with their own, Russian literature: “the same subject in Russian” was replaced by a translated text close to the modern concept of translation. The beginning of the twentieth century was marked by mass translations of poetic texts and, in the vast majority of cases, the authors who translated them were also poets: V.Ya. Bryusov; N.S. Gumilev; A.A. Akhmatova; B.L. Pasternak; and others. The translation of the poem was understood as the transfer of the original poetic experience to Russian soil, and high demands were placed on the quality of the poetic text, often leading to significant semantic differences between the original text and the translated one. With the advent of machine translation and the expansion of digitalization, translation has become available to almost everyone. At the same time, there are areas in which literal translation almost does not interfere with the perception of the text (for example, in an official business style or when translating texts of instructions) and requires minimal stylistic editing. However, literary translation can radically lose its meaning, and in the case of a poetic translation, it can deprive the text of its aesthetic characteristics (rhythmic organization, rhyme), which poses new challenges for translators in the digitalization era. Translation gaps in the text of fiction should be considered not yet completely solved by the task of the modern digitalization society. Keywords: Translation, literary text, Silver Age, digital age

scholarly journals Prosodic text analysis theory

2016 ◽  
Vol 6 (2) ◽  
pp. 283
Author(s):  
Mohammed Gamal Sakr
Keyword(s):  
Text Analysis ◽  
Theoretical Framework ◽  
The Other ◽  
Text Linguistics ◽  
Analysis Theory ◽  
Poetic Text ◽  
The Creation ◽  
Poetic Texts ◽  
The One ◽  
The Way

Within the field of poetic text linguistics, the theories of both text linguistics and prosodic linguistics have failed to reveal the nature of the creation of the poetic text and the way it is received by people. This necessitates adopting a new theoretical framework that combines the two approaches by focusing on nine norms: domain rules, length and separation rules, paragraph and sentence rules, phrases and words rules, and syllable and sound rules. These rules should be used by anyone who compares between different poetic texts on the one hand, and between poetic and non-poetic texts on the other. 

Misreading Egypt

2018 ◽  
Author(s):  
Jesse Schotter
Keyword(s):  
New Media ◽  
Narrative Form ◽  
Experimental Film ◽  
Tower Of Babel ◽  
Avant Garde ◽  
Sergei Eisenstein ◽  
History Of ◽  
The One ◽  
The Relationship ◽  
Modern Technologies

The first chapter of Hieroglyphic Modernisms exposes the complex history of Western misconceptions of Egyptian writing from antiquity to the present. Hieroglyphs bridge the gap between modern technologies and the ancient past, looking forward to the rise of new media and backward to the dispersal of languages in the mythical moment of the Tower of Babel. The contradictory ways in which hieroglyphs were interpreted in the West come to shape the differing ways that modernist writers and filmmakers understood the relationship between writing, film, and other new media. On the one hand, poets like Ezra Pound and film theorists like Vachel Lindsay and Sergei Eisenstein use the visual languages of China and of Egypt as a more primal or direct alternative to written words. But Freud, Proust, and the later Eisenstein conversely emphasize the phonetic qualities of Egyptian writing, its similarity to alphabetical scripts. The chapter concludes by arguing that even avant-garde invocations of hieroglyphics depend on narrative form through an examination of Hollis Frampton’s experimental film Zorns Lemma.

The Image of the Hasmoneans: A New Perspective

2018 ◽  
Author(s):  
Vered Noam
Keyword(s):  
First Generation ◽  
Second Temple ◽  
The Other ◽  
Three Generations ◽  
The Creation ◽  
New Perspective ◽  
The One

In attempting to characterize Second Temple legends of the Hasmoneans, the concluding chapter identifies several distinct genres: fragments from Aramaic chronicles, priestly temple legends, Pharisaic legends, and theodicean legends explaining the fall of the Hasmonean dynasty. The chapter then examines, by generation, how Josephus on the one hand, and the rabbis on the other, reworked these embedded stories. The Josephan treatment aimed to reduce the hostility of the early traditions toward the Hasmoneans by imposing a contrasting accusatory framework that blames the Pharisees and justifies the Hasmonean ruler. The rabbinic treatment of the last three generations exemplifies the processes of rabbinization and the creation of archetypal figures. With respect to the first generation, the deliberate erasure of Judas Maccabeus’s name from the tradition of Nicanor’s defeat indicates that they chose to celebrate the Hasmonean victory but concealed its protagonists, the Maccabees, simply because no way was found to bring them into the rabbinic camp.

scholarly journals Application of Deep Learning in Fault Diagnosis of Rotating Machinery

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 919
Author(s):  
Wanlu Jiang ◽  
Chenyang Wang ◽  
Jiayun Zou ◽  
Shuqing Zhang
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Fault Diagnosis ◽  
Rotating Machinery ◽  
Generative Adversarial Networks ◽  
Extraction Ability ◽  
One Dimensional ◽  
Adversarial Networks ◽  
Diagnosis Model ◽  
The One

The field of mechanical fault diagnosis has entered the era of “big data”. However, existing diagnostic algorithms, relying on artificial feature extraction and expert knowledge are of poor extraction ability and lack self-adaptability in the mass data. In the fault diagnosis of rotating machinery, due to the accidental occurrence of equipment faults, the proportion of fault samples is small, the samples are imbalanced, and available data are scarce, which leads to the low accuracy rate of the intelligent diagnosis model trained to identify the equipment state. To solve the above problems, an end-to-end diagnosis model is first proposed, which is an intelligent fault diagnosis method based on one-dimensional convolutional neural network (1D-CNN). That is to say, the original vibration signal is directly input into the model for identification. After that, through combining the convolutional neural network with the generative adversarial networks, a data expansion method based on the one-dimensional deep convolutional generative adversarial networks (1D-DCGAN) is constructed to generate small sample size fault samples and construct the balanced data set. Meanwhile, in order to solve the problem that the network is difficult to optimize, gradient penalty and Wasserstein distance are introduced. Through the test of bearing database and hydraulic pump, it shows that the one-dimensional convolution operation has strong feature extraction ability for vibration signals. The proposed method is very accurate for fault diagnosis of the two kinds of equipment, and high-quality expansion of the original data can be achieved.

scholarly journals Energy Transition in Poland—Assessment of the Renewable Energy Sector

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2046
Author(s):  
Michał Bernard Pietrzak ◽  
Bartłomiej Igliński ◽  
Wojciech Kujawski ◽  
Paweł Iwański
Keyword(s):  
Renewable Energy ◽  
Energy Transition ◽  
Biomass Energy ◽  
The Public ◽  
Critical Situation ◽  
Low Emission ◽  
Harmful Substances ◽  
The Creation ◽  
Modern Technologies ◽  
New Jobs

The topic of the article considers the functioning of the renewable energy (RE) sector in Poland. This is really important in the context of the energy transition of the national economy because it influences the creation of modern technologies and increases the competitiveness and innovation of the country. Poland is in a process of energy transition where the RE sector has been developing for two decades. The authors aimed to research the RE sector improvement possibilities in Poland, including the influence of this sector on chosen social and economic aspects. Because of this research’s aim a critical situation assessment of RE in Poland was conducted and a survey of a group of experts in this field was also involved. Legal, physical and mental determinants and their influence on RE sector were looked into. In the legal determinant context a necessity to simplify relevant legislation acts in Poland was found. Undoubtedly there is a need to improve several legal acts, including the Distance Act. In physical determinants it was found that solar, wind and biomass energy have the biggest chances for development. In the case of mental determinants the authors paid attention to the need of educating the public about using and obtaining energy. It is also important to make people aware how the RE sector influences the low emission economy positively. This will improve the creation of new jobs and reduce the emissions of harmful substances to the environment.

Study for Workpiece Identity Based on the BP Neural Network and the Zernike Moment

2013 ◽  
Vol 694-697 ◽  
pp. 1958-1963 ◽  
Author(s):  
Xian Wei ◽  
Jing Dong Zhang ◽  
Xue Mei Qi
Keyword(s):  
Neural Network ◽  
Fault Tolerance ◽  
Parallel Processing ◽  
Bp Neural Network ◽  
Complex Shape ◽  
Learning Ability ◽  
Zernike Moment ◽  
Recognition Ability ◽  
Identity Based ◽  
Self Learning

The robots identify, locate and install the workpiece in FMS system by identifying the characteristic information of target workpiece. The paper studied the recognition technology of complex shape workpiece with combination of BP neural network and Zernike moment. The strong recognition ability of Zernike moment can extract the characteristic. The good fault tolerance, classification, parallel processing and self-learning ability of BP neural network can greatly improve the accurate rate of recognition. Experimental results show the effectiveness of the proposed method.

N. Belknap's Four-Valued Logic, Belknap Computer and New Proximity Functions for Comparing Discrete Objects

2021 ◽  
Vol 1 (2 (6)) ◽  
Author(s):  
Valerii Dmitrienko ◽  
Sergey Leonov ◽  
Mykola Mezentsev
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
The Other ◽  
Proximity Function ◽  
Input Information ◽  
Proximity Measures ◽  
The One ◽  
True Values

The idea of ​​Belknap's four-valued logic is that modern computers should function normally not only with the true values ​​of the input information, but also under the conditions of inconsistency and incompleteness of true failures. Belknap's logic introduces four true values: T (true - true), F (false - false), N (none - nobody, nothing, none), B (both - the two, not only the one but also the other).  For ease of work with these true values, the following designations are introduced: (1, 0, n, b). Belknap's logic can be used to obtain estimates of proximity measures for discrete objects, for which the functions Jaccard and Needhem, Russel and Rao, Sokal and Michener, Hamming, etc. are used. In this case, it becomes possible to assess the proximity, recognition and classification of objects in conditions of uncertainty when the true values ​​are taken from the set (1, 0, n, b). Based on the architecture of the Hamming neural network, neural networks have been developed that allow calculating the distances between objects described using true values ​​(1, 0, n, b). Keywords: four-valued Belknap logic, Belknap computer, proximity assessment, recognition and classification, proximity function, neural network.

THE CONCEPT OF MANAGING THE DATA NETWORK BASED ON SELF-LEARNING SYSTEMS

2020 ◽  
Author(s):  
С.Р. РОМАНОВ
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Data Transmission ◽  
Network Control ◽  
Learning Systems ◽  
Optimal Routing ◽  
Transmission Network ◽  
Data Traffic ◽  
Data Network ◽  
Self Learning

Рассмотрен принцип управления сетью передачи данных (СПД)с помощью искусственной нейронной сети. Предложена концепция проведения вычислений при решении задачи оптимальной маршрутизации трафика данных. Приведен алгоритм управления сетью СПД на базе нейронной сети Хэмминга. The principle of data transmission network control using an artificial neural network is considered. The concept of carrying out calculations when solving the problem of optimal routing of data traffic is proposed. The algorithm for controlling the data transmission network based on the Hamming neural network is presented.

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