Text Editor Research Articles

O poprawności językowej tekstów generowanych przez SI na przykładzie ChatuGPT

O poprawności językowej tekstów generowanych przez SI na przykładzie ChatuGPT

Макробий в англоязычных исследованиях

The article examines the principal English-language studies of the last century focused on exploring the personality of Macrobius (5th century) and his works — Saturnalia (Saturnalia [ed. Willis, 1963]), Commentary on the 'Dream of Scipio' (Commentarii in Somnium Scipionis [ed. Willis, 1963]), and On the differences and similarities of Greek and Latin verbs (De verborum graeci et latini differentiis vel societatibus excerpta [ed. De Paolis, 1990]), written for educational purposes and representing a compendium of Greek knowledge. Interest in Macrobius's creative legacy notably intensified towards the end of the 19th century, a trend linked to the release of critical editions of Macrobian texts and their subsequent translations into French. In particular, the study analyzes the research of Thomas Whittaker (Macrobius; or philosophy, science and letters in the year 400; published in 1923), William Harris Stahl (Macrobius, Commentary on the ‘Dream of Scipio’, published in 1952), Alan Cameron (The date and identity of Macrobius [published in 1966] and Macrobius, Avienus, and Avianus [published in 1967]), Herman De Ley (Macrobius and Numenius. A study of Macrobius, ‘In Somn.’ I, c. 12; published in 1972), Stephen Gersh (Middle platonism and neoplatonism, the Latin tradition; published in 1986), Roger A. Pack (A medieval critic of Macrobius’ cosmometrics; published in 1981), Alison Peden (Science and philosophy in Wales at the time of the Norman conquest: a Macrobius manuscript from Llabadarn; published in 1981), among others. It highlights the primary issues that researchers have focused on when studying Macrobius's literary legacy, identifies the challenges in analyzing his works, and acknowledges the contribution of English-speaking scholars to the global historiography.

Artificial Intelligence (AI): Evolution, Methodologies, and Applications

Abstract: Artificial intelligence, also known as AI, is a technology that enables computers and machines to emulate human intelligence and problem-solving abilities. Computers can perform a wide range of advanced functions thanks to the use of artificial intelligence (AI) technologies. These functions include the ability of machines to see, comprehend, and translate spoken and written language, analyzing data, making recommendations, and more. Artificial intelligence is considered a field of computer science that encompasses other areas like machine learning and deep learning, data analytics, linguistics, software engineering, and so on. These disciplines often involve the development of AI algorithms that are based on the decision-making processes of the human brain, that has the ability to learn and memorize from existing data and allows more precise classifications or predictions over a period of time. AI is the foundation for innovation in modern computing, discovering the value for both individuals and businesses. For illustration, AI is used to extricate content and information from pictures and documents, turns unstructured content into business-ready structured data, and unlocks valuable insights. AI has the ability to perform tasks that would otherwise require human intelligence or intervention, when combined with other technologies such as sensors, and robotics. It is used in many areas of life, including education, finance, healthcare, and manufacturing. Here are some examples of AI in different areas: Facial detection and recognition, Text editors, Digital assistants, Self-driving cars, and many more.

Digital Guardianship: Innovative Strategies in Preserving Armenian’s Epigraphic Legacy

In the face of geopolitical threats in Artsakh, the preservation of Armenia’s epigraphic heritage has become a mission of both historical and cultural urgency. This project delves deep into Armenian inscriptions, employing advanced digital tools and strategies like the Oxygen text editor and EpiDoc guidelines to efficiently catalogue, analyze, and present these historical treasures. Amidst the adversities posed by Azerbaijan’s stance towards Armenian heritage in Artsakh, the digital documentation and preservation of these inscriptions have become a beacon of cultural resilience. The XML-based database ensures consistent data, promoting scholarly research and broadening accessibility. Integrating the Grabar Armenian dictionary addressed linguistic challenges, enhancing data accuracy. This initiative goes beyond merely preserving stone and text; it is a testament to the stories, hopes, and enduring spirit of the Armenian people in the face of external threats. Through a harmonious blend of technology and traditional knowledge, the project stands as a vanguard in the fight to ensure that Armenia’s rich epigraphic legacy, and the narratives they enshrine remain undiminished for future generations.

Providing students with feedback during online language projects

Importance. Digitalization of education provides new opportunities for organizing the learning process due to the properties of Internet platform tools. Internet platforms are especially relevant in the context of multidimensional tasks, such as Internet projects, because they are characterized by their complexity One of the directions of organizing Internet projects is provision of feedback.Materials and Methods. Using the analysis of scientific literature, the main characteristics of feedback related to its frequency (operational, systematic and episodic) and to its qualitative indicators (thoroughness, form of provision and degree of integration into the course) were identified.Results and Discussion. Feedback for Internet projects in foreign language classes was divided into two types: linguistic and subject-specific feedback. Language feedback acts as episodic and retroflexive feedback – it is provided at the end of the project when mistakes are made. Online text editors that allow commenting and tools for creating controls that can be used to integrate feedback into the learning process are suitable for providing. Subject-specific feedback, on the other hand, is systematic and immediate – its timely provision can influence the success of the project. It is provided through synchronous communication tools, both written text-based and video-based.Conclusion. Feedback in the performance of Internet projects is more systematized and detailed, compared to the classroom counterparts. The tools of Internet platforms provide new opportunities for analyzing materials and new ways of communication between teacher and learner.

ОСОБЕННОСТИ ОПЕРАЦИОННОЙ СИСТЕМЫ ASTRA LINUX

The features of the Astra Linux operating system developed by based on the kernel of the Linux operating system as part of the implementation of the state program on the creation and use of free software with a license for free copying and installation for an unlimited number of users, including the structure of the architecture of the Linux operating system, characteristics of its kernel, features of file and graphic systems, as well as office software packages Star Office and K Office. Distributions of the Astra Linux operating system are described, which are used as part of the implementation of the plan for the transition of federal budgetary institutions to the use of free software. The proprietary graphical system (Astra Linux user shell) Fly, which is conceptually a mixture of Windows and KDE graphical environments, is examined in detail. The features of different versions of the «MyOffice» office software package are considered, including a text editor, a spreadsheet processor, a presentation program, a server, and a data storage system and client applications.

Using ChatGPT as a Learning Tool: A Study of Ukrainian Students’ Perceptions

Artificial intelligence and generative AI in higher education emerge as transformative forces, profoundly impacting educational practices and methodologies. This paper explores students’ experiences using ChatGPT for learning purposes and investigates their satisfaction levels with the support provided by this tool. For data collection, the authors developed a questionnaire, and a study was conducted among a random sample of 247 university students from Ukraine graduating in Business, Engineering, and IT. The findings confirm that students most commonly rely on ChatGPT when searching for information and working on language-related tasks, such as text editing and text improvements. The study contributes to a better understanding of AI tool integration in diverse academic disciplines, highlighting the importance of tailored strategies to meet distinct needs and expectations across various specialisms in higher education. Moreover, the findings suggest high satisfaction among students of all three specialisms with using ChatGPT for learning purposes, including working on tasks and assignments, and a positive attitude toward this tool in promoting the quality of learning. The results of this study may encourage administrators and educators at higher education institutions to incorporate good practices on using Generative AI tools into curricula and instructional practices, with relevant guidelines on the use of AI and a substantial focus on developing students’ skills on how to use generative AI tools effectively for different purposes and in various academic and professional domains.

Wykorzystanie audiodeskrypcji w nauczaniu języka rosyjskiego na studiach filologicznych

The article focuses on the possibilities of using audio description as a teaching aid in teaching Russian on university degree programmes. The author proposes a set of exercises for practical learning of Russian using the animated series Masha and the Bear. The structure of the proposed exercises includes several stages of student activities (including observation, language exercises, text editing, recording of a ready-made audio description), which makes it possible to adapt them to different levels of language proficiency of the learners. The proposed exercises do not focus only on verbal description itself, but also force the student to engage in in-depth analysis and reflection that requires reading the scene in a broader context, e.g. using the cultural background that can be seen while watching the series. Audio description is an attractive teaching aid, a tool that allows the simultaneous use of authentic material, such as the animation Masha and the Bear, and new technologies, including: applications for recording ready-made audio descriptions.

Detecting Source Code Plagiarism in Student Assignment Submissions Using Clustering Techniques

In pragmatic courses, graduate students are required to submit programming assignments, which have been susceptible to various forms of plagiarism. Detecting counterfeited code in an academic setting is of paramount importance, given the prevalence of publications and papers. Plagiarism, defined as the unauthorized replication of written work without proper acknowledgment, has become a critical concern with the advent of information and communication technology (ICT) and the widespread availability of scholarly publications online. However, the extensive use of freeware text editors has posed challenges in detecting source code plagiarism. Numerous studies have investigated algorithms for revealing different types of plagiarism and detecting source code plagiarism. In this research, we propose an innovative strategy that combines TF-IDF (Term Frequency-Inverse Document Frequency) modifications with K-means clustering, achieving a remarkable precision rate of 99.2%. Additionally, we explore the hierarchical clustering method, which estimates an even higher precision rate of 99.5% compared to previous techniques. To implement our approach, we utilize the Python programming language along with relevant libraries, providing a robust and efficient system for source code plagiarism detection in student assignment submissions.

The music theory booklet Balliol 173A, fols. 74r–81v: scribal organisation of an early medieval theory miscellany

AbstractUsing evidence of the quality of vellum, fascicle structure, scribal hands and illustrations, this article argues that the first fascicle of the music portion of Oxford, Balliol College, 173A (fols. 74–81) is a self-standing booklet, perhaps created to teach a scribe the basics of music theory and how to arrange text while leaving space for illustrations or examples. A new fascicle structure of the gathering is proposed that accounts for a previously unrecognised missing folio. An analysis of the contents of the gathering demonstrates that the theory booklet is a compilatio, with portions of the Musica disciplina (or it sources) acting as a frame to start and end the booklet, with other works (Pseudo-Jerome, Isidore of Seville and Cassiodorus) inserted in between. The final folios are completed with a number of small tractatuli, including the brief dialogue Diapason quid est? The contents of both the booklet and the entire music codex are closely paralleled in one of the smaller manuscripts collected into Oxford, St John's College 188 and also Cambridge, Trinity College R.15.22. While it will be ever easier to study digital images of manuscripts and to create critical editions of well-defined texts, this article argues for the continuing importance of codicological study of manuscripts in situ to coordinate the placements of texts within the structure of codices.

Detection of Source Code Plagiarism Utilizing an Approach Based on Machine Learning

Academic institutions, which often publish papers and journals, are ideal testing grounds for the efficacy of counterfeit detection methods. Plagiarism occurs when someone uses the words of another writer without giving that writer proper credit. The proliferation of freeware text editors and the increasing availability of scientific materials online have made the detection of plagiarism a pressing concern; however, the detection of plagiarism in the source code presents a particularly difficult problem. Plagiarism detection algorithms for identification systems and software source code have been the subject of numerous academic investigations. The proposed method combines TF-IDF transformations with K-means clustering to achieve a 99.2% accuracy rate when detecting instances of plagiarism in the source code. This is because it groups similar lines of code together. On the other hand, in comparison to the outcomes produced by the random forest algorithm, the ones that it generates are significantly better. The performance of the MOSS system that was already in place was inferior to that of the system that was used for 90% and 80% of the training set. When contrasting the results, some parameters for evaluation that are considered include precision, recall, and F-measure. The proposed system is implemented in Jupyter Notebook 7 and Python. Also, graphic user interface is designed and implemented to give user friendly experience to the users.

Diagnosis and Treatment of ADHD in the Pediatric Population.

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in childhood with approximately 6 million children (age 3 to 17 years) ever diagnosed based on data from 2016-2019. ADHD is characterized by a constant pattern of inattention and/or hyperactivity-impulsivity symptoms that interferes with development or functioning. Specific criteria from the Diagnostic and Statistical Manual of Mental Disorders, 5th edition Text Revision assist with the diagnosis with multiple guidelines available providing non-pharmacologic and pharmacologic recommendations for the treatment of ADHD in the pediatric population. While all guidelines similarly recommend behavioral and/or stimulant therapy as first-line therapy based on age, not all stimulant products are equal. Their differing pharmacokinetic profiles and formulations are essential to understand in order to optimize efficacy and safety for patients. Additionally, new stimulant products and non-stimulant medications continue to be approved for use of ADHD in the pediatric population and it is important to know their differences in formulation, efficacy, and safety to other products currently available. Lastly, due to drug shortages, it is important to understand product similarities and differences to select alternative therapy for patients.

ПРАВОВЕ РЕГУЛЮВАННЯ ЕЛЕКТРОННОЇ ІДЕНТИФІКАЦІЇ ТА ЕЛЕКТРОННИХ ДОВІРЧИХ ПОСЛУГ В УКРАЇНІ: ПЕРСПЕКТИВИ ВДОСКОНАЛЕННЯ Й РОЗВИТКУ В УМОВАХ ГАРМОНІЗАЦІЇ З ПРАВОМ ЄВРОПЕЙСЬКОГО СОЮЗУ

The use and exchange of electronic documents certified by an electronic signature and seal are increasingly used in all spheres of society. In the field of private legal relations, it speeds up the procedure for concluding contracts. Increasing the efficiency of their signing, in turn, allows you to speed up the execution of contractual relations and thereby improve the quality of service to customers, partners, and suppliers. Legal regulation is analyzed in the article on electronic identification and electronic trust services. Emphasis is placed on the importance of harmonizing current legislative norms in Ukraine with the legal norms of the European Union within the indicated scientific limits of the study. Attempts to implement the experience of international standards regarding electronic identification and electronic trust services into national legislation are analyzed. The article examines the concepts of electronic signature and electronic seal and analyzes their types: improved electronic signature and seal, and qualified electronic signature and seal. Attention is also focused on those requirements that are strictly subject to the qualification of an electronic signature and seal. Within the framework of the study of current legislation in general and court practices in particular, the legal consequences in cases of the absence of an electronic signature or seal on electronic documents have been clarified. For example, in cases where there is no electronic signature or seal on electronic documents, it becomes impossible to identify the sender of a particular message. Instead, in such a case, it is appropriate to note the lack of protection of this type of document from the possibility of text correction or editing. Therefore, it was established that in the case of the absence of an electronic signature or seal in an electronic document, such a document cannot be considered in the court process as evidence. The position is supported that, at the national level, a contract signed between the parties without the use of a qualified electronic signature will not mean the invalidity of such a contract, therefore the use of ordinary and improved electronic signatures is completely legal and will create rights and obligations for the parties who signed such a contract.

Early Modern Imperial Philologies: Ahmad al-Hajarî and the Lead Books of Granada

The Morisco polymath Ahmad ibn Qâsim al-Hajarî (c.1569–c.1640) was a diplomat, a writer and translator. His engagement with philology, i.e., the edition, annotation and translation of texts, especially the Lead Books of Granada, is an important part of his work. This article examines his philological practices and how he deployed them in order to defend Islam and Islamic power and to counter the hegemonic claims of the Spanish Catholic Empire.

Research on the application of graph neural networks in text classification

With the rapid development of the Internet and social media, a large amount of text data is constantly generated, and text classification has become an important task. Text classification is an important branch in the field of natural language processing and has attracted the attention of many researchers in recent years. Due to the ease of editing text data, most texts in the network are manually constructed and uploaded by users. Therefore, the standardization of online texts and the classification of texts with different granularity are of great significance in the field of information retrieval. This article introduces the basic concepts of text classification and three text classification methods: knowledge engineering (rule) based text classification methods, traditional machine learning-based text classification methods, and deep neural network-based text classification methods. This article also analyzes the advantages and disadvantages of the three methods. Subsequently, the basic concepts and common models of graph neural networks were explored. An application case of graph neural networks in text classification is provided. This article provides effective suggestions for text classification applications in the field of natural language processing.

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Due to the recent success of diffusion models, text-to-image generation is becoming increasingly popular and achieves a wide range of applications. Among them, text-to-image editing, or continuous text-to-image generation, attracts lots of attention and can potentially improve the quality of generated images. It's common to see that users may want to slightly edit the generated image by making minor modifications to their input textual descriptions for several rounds of diffusion inference. However, such an image editing process suffers from the low inference efficiency of many existing diffusion models even using GPU accelerators. To solve this problem, we introduce Fast Image Semantically Edit (FISEdit), a cached-enabled sparse diffusion model inference engine for efficient text-to-image editing. The key intuition behind our approach is to utilize the semantic mapping between the minor modifications on the input text and the affected regions on the output image. For each text editing step, FISEdit can 1) automatically identify the affected image regions and 2) utilize the cached unchanged regions' feature map to accelerate the inference process. For the former, we measure the differences between cached and ad hoc feature maps given the modified textual description, extract the region with significant differences, and capture the affected region by masks. For the latter, we develop an efficient sparse diffusion inference engine that only computes the feature maps for the affected region while reusing the cached statistics for the rest of the image. Finally, extensive empirical results show that FISEdit can be 3.4 times and 4.4 times faster than existing methods on NVIDIA TITAN RTX and A100 GPUs respectively, and even generates more satisfactory images.

Autocorrect of a Word in a Sentence using Text Feature Analysis with Natural Language Processing

In text editing software, auto-correct is a crucial tool that helps users correct spelling mistakes and improve the grammatical accuracy of their written content. The unique method for auto-correction proposed in this paper combines test feature analysis with natural language processing (NLP). The algorithm makes use of NLP techniques to examine the original sentence's context and spot any potential mistakes. After that, it runs a number of tests to produce correction suggestions for the word in question. This strategy is predicated on the idea that test characteristics like word frequency, word length, and part of speech can be utilized to distinguish between appropriate and inappropriate word patterns. The efficiency of the suggested strategy in correctly correcting words inside a phrase is shown by experimental findings.

Integrating Digital Editions and Methods for Text Editing and Analysis in Undergraduate Literary Studies

This article evaluates the integration of digital editions, computational text analysis and digital scholarly editing in the context of an introductory undergraduate course on Italian literature and digital humanities taught at a US university. It offers specific examples of employing the apparatus of several digital platforms dedicated to the study of foundational authors in the Italian literary tradition (Dante, Petrarch, Boccaccio and Leopardi), and of gaining familiarity with a suite of digital tools for text analysis and editing, namely Voyant Tools, Recogito, Oxygen, Gephi, Transkribus Lite and OpenRefine. The discussion of digital project interfaces examines the student user experience of different design approaches, while the illustrations of tool exercises explore how these could support the close attention to a text and facilitate the navigation between its micro and macro frameworks of interpretation. The article furthermore suggests that digital text analysis could reinforce student appreciation of the signifying value of textual form and genre, and that the pedagogical method of digital text editing creates opportunities for situated learning. In conclusion, it argues that the academic work of students at the undergraduate level could be harnessed by the scaffolded methods of faculty-led digital research projects and contribute to the creation of public knowledge.

Restoration Playbooks and Receivers’ Stamps: James Magnes, Richard Bentley, and ‘the Post-Office in Russel-street in Covent-Garden’

ABSTRACT This article examines the surprisingly prevalent incidence of contemporary handstamps impressed upon the final leaf of Restoration playbooks. These are all circular and contain either individual letters or are bisected and contain a combination of letters and numerals. As they are demonstrably not part of the printing process, they have not attracted the attention of textual editors; but as this article shows, neither are they markers of ownership that would interest scholars researching provenance. We identify the marks as being the stamps of letter receivers; in particular, receivers (James Magnes and Richard Bentley) who were also stationers involved in the publishing of the plays we examined. The presence of these stamps suggests that Magnes and Bentley served not only as publishers and booksellers, but as distributors of the playbooks they produced. The presence of these stamps thus has implications for the distribution of Restoration playbooks through the English postal system.

William Williams, Anachronism, and the Temporal Logic of Textual Recovery (1776/1815/1969)

Abstract This article takes the distinctive publishing history of William Williams’s Robinsonade novel Mr. Penrose as a prompt to challenge conventional assumptions about the temporal logic of textual recovery. Scholars typically make a case for the value of forgotten or neglected texts by emphasizing forms of “creative anachronism” in which an author is said to be ahead of their time in ways only recognizable by posterity. Mr. Penrose, written in America in 1776, published in a heavily redacted version in Britain in 1815, and finally published in full in 1969, offers a means of apprehending the far less familiar dynamics of “pathetic anachronism,” wherein a text repeatedly fails to connect with the successive historical moments of its appearance and remains uncanonized. This stalled trajectory of Williams’s novel helps to illuminate the limitations of conventional discourses of textual recovery by tracing them back to tropes of the “found manuscript” and transatlantic shifts in genre popularity in the eighteenth century, as well as Romantic theories of temporal disjunction and the emergence of the historical novel in the nineteenth century and models of textual editing and debates over “the first American novel” in the twentieth century.These three versions of Williams’s novel . . . help us to see how various intellectual, aesthetic, generic, and material factors can mitigate against a text fitting into the mechanisms critics typically deploy to advance the positive qualities of anachronism.