Coherent Text Research Articles

Study on the Textual Coherence Function of Conjunctions in Political Texts and Their Translation Reconstruction

The assessment of translation quality in political texts is primarily based on achieving effective communication. Throughout the translation process, it is essential to not only accurately convey the original content but also effectively transform the structural mechanisms of the source language. In the translation reconstruction of political texts, various textual cohesion methods are often employed, with conjunctions serving as a primary means for semantic coherence within text units.

Automatic verification method of relay protection equipment setting value combining cell image gray enhancement and AI recognition

In order to solve the problems of tedious, insufficient manpower, low efficiency, and easy to cause human errors in the verification of relay protection equipment settings with the development of the power grid, an automatic verification method of relay protection equipment settings combining cell image gray enhancement and AI recognition is studied. In this method, Gaussian mixture and particle swarm algorithm are used to enhance the gray level of the original image captured, and the binary method is used to further denoise the image; The histogram is used to segment the cells in the denoised constant value image one by one; The OCR technology in AI technology uses the maximum width backtracking segmentation algorithm to segment a coherent text in a cell into multiple single words, and collects the 13 dimensional characteristics of the text to be detected to compare with the text in the database. The text with the smallest error is the detected text, which completes the text extraction in the cell; Store the extracted text data in the database, check the data in the notification constant value sheet and the device constant value sheet, and give an abnormal prompt of different data. The experimental results show that the image pre processed by this method is clear, the fixed value single cell segmentation is accurate, and the OCR text extraction efficiency is high. Through a large number of data experiments, the final verification accuracy can reach 99.8%.

Construction of Semantic Coherence Diagnosis Model of English Text based on Sentence Semantic Map

The current English composition automatic correction system rarely involves coherence quality analysis of compositions. Therefore, a semantic coherence diagnosis model for English texts was constructed based on sentence semantic maps, and its effectiveness was verified through experiments. Experimental results show that sub Graphical model 10, 12 and 13 exceed 200 on the first two test texts and 1 on the last two test texts. However, the differences between these three subgraphs on different test texts are not significant, with differences below 30 and 0.3. In addition, when extracting incoherent sentences, the F1 value reaches the optimal value at a threshold of 0.34, which is 87.54%. When the threshold is fixed at 0.34, the accuracy of extracting non coherent sentences also increases with the number of articles, reaching a maximum of 88.43%. At the same time, there was no significant difference in accuracy, recall, and F1 values among different English composition numbers, maintaining between 83% and 89%. The Pearson coefficient calculated in the actual comparison with the teacher's manual composition score is 0.6025, indicating a strong correlation between the two, indicating that the diagnostic results are reliable. Overall, the diagnostic model constructed in the study has strong accuracy and effectiveness, and is practical in the diagnosis of semantic coherence in actual English texts.

Health literacy in ChatGPT: exploring the potential of the use of artificial intelligence to produce academic text.

The aim of this study was to identify and analyze the main constituent elements of text generated by ChatGPT in response to questions on an emerging topic in the academic literature in Portuguese - health literacy - and discuss how the evidence produced can contribute to improving our understanding of the limits and challenges of using artificial intelligence (AI) in academic writing. We conducted an exploratory descriptive study based on responses to five consecutive questions in Portuguese and English with increasing levels of complexity put to ChatGPT. Our findings reveal the potential of the use of widely available, unrestricted access AI-based technologies like ChatGPT for academic writing. Featuring a simple and intuitive interface, the tool generated structured and coherent text using natural-like language. Considering that academic productivism is associated with a growing trend in professional misconduct, especially plagiarism, there is a need too take a careful look at academic writing and scientific knowledge dissemination processes mediated by AI technologies.

A literacia em saúde no ChatGPT: explorando o potencial de uso de inteligência artificial para a elaboração de textos acadêmicos

Abstract The aim of this study was to identify and analyze the main constituent elements of text generated by ChatGPT in response to questions on an emerging topic in the academic literature in Portuguese - health literacy - and discuss how the evidence produced can contribute to improving our understanding of the limits and challenges of using artificial intelligence (AI) in academic writing. We conducted an exploratory descriptive study based on responses to five consecutive questions in Portuguese and English with increasing levels of complexity put to ChatGPT. Our findings reveal the potential of the use of widely available, unrestricted access AI-based technologies like ChatGPT for academic writing. Featuring a simple and intuitive interface, the tool generated structured and coherent text using natural-like language. Considering that academic productivism is associated with a growing trend in professional misconduct, especially plagiarism, there is a need too take a careful look at academic writing and scientific knowledge dissemination processes mediated by AI technologies.

CANBLWO: A Novel Hybrid Approach for Semantic Text Generation

Semantic text generation is critical in Natural Language Processing (NLP) as it faces challenges such as maintenance of coherence among texts, contextual relevance, and quality output. Traditional language models often produce grammatically inconsistent text. To address these issues, we introduce Convolutional Attention Bi-LSTM with Whale Optimization (CANBLWO), a novel hybrid model that integrates a Convolutional Attention Network (CAN), Bidirectional Long Short-Term Memory (Bi-LSTM), and Whale Optimization Algorithm (WOA). CANBLWO aims to generate semantically rich and coherent text and outperforms the traditional models like Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Bi-LSTM, and Bi-LSTM with attention, Bidirectional Encoder Representations from Transformers (BERT), and Generative Pre-trained Transformer 2 (GPT-2). Our model achieved 0.79, 0.78, 0.76, and 0.82 scores in Metric for Evaluation of Translation with Explicit Ordering (METEOR), Bi-Lingual Evaluation Understudy (BLEU), Consensus-based Image Description Evaluation (Ciders), and Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics, respectively. The proposed model also demonstrates 97% and 96% accuracy on Wiki-Bio and Code/Natural Language Challenge (CoNaLa) datasets, highlighting its effectiveness against Large Language Models (LLMs). This study underscores the potential capability of hybrid approaches in enhancing semantic text generation

Unravelling Deconstruction: A Comprehensive Examination of its Qualitative Research Method and Application in Historical Texts

This research endeavors to delve into the qualitative research method of deconstruction and its profound application in deciphering the nuanced meanings within historical texts. Utilizing a review methodology, this study takes the form of a comprehensive review article. Deconstruction, as both a theory and practical approach to text reading, challenges the prevailing notion that language systems inherently establish coherence or unity in literary texts, aiming to uncover definitive meanings. The primary objective of deconstruction is to express concepts qualitatively and analytically. Research questions are tailored to the type of text under consideration, guided by the researcher's decisions. For instance, the groundbreaking concept of "explanatory and inquiry" emerged in the literary domain, maintaining its relevance within academic institutions and expanding to encompass various conceptual frameworks. Deconstruction extends its reach into social thinking and speeches, involving critical re-examination of historical texts to glean insights into historical facts. Essentially akin to metaphysical criticism, the deconstruction method was founded by Jacques Derrida, an Algerian philosopher of French origin, whose theories significantly influenced postmodern philosophy and literary criticism.

The Influence Of Collaborative Blended Learning Through Written Small Group Discussion Model On High School Students’ English Writing Skills

This research explored the effectiveness of the Collaborative Blended Learning model through Written Small Group Discussions (CBL through WiSGuD) on enhancing students' exposition text writing skills. The study utilized a quantitative approach, employing a MANOVA analysis to assess changes in students' abilities to articulate ideas, structure texts, and use language effectively within a collaborative learning setup. Data were gathered from students' writing assignments, which were analyzed based on content, text organization, vocabulary, language use, and writing mechanics. Results indicated significant improvements in all assessed areas, demonstrating that the CBL through WiSGuD model substantially enhances students' writing skills. These findings support the hypothesis that collaborative learning environments contribute positively to students' ability to construct coherent and persuasive texts, particularly in exposition writing, which demands high analytical and organizational skills. The study underscores the importance of incorporating collaborative and blended learning strategies in educational curricula to improve specific academic skills and foster essential 21st-century skills such as teamwork and effective communication. The implications of these findings are critical for educators aiming to enhance students' writing competencies and prepare them for collaborative and communicative demands of the professional world. Future research might consider longitudinal studies to evaluate the long-term impacts of such educational interventions across various learning contexts and disciplines.

Research on Efficient English Teaching Model Combining Corpus Microtext Analysis

Abstract Aiming at the goal of improving the quality of English teaching and combining the characteristics of English teaching, this paper constructs an efficient English discursive literacy teaching based on corpus micro-text analysis. Utilizing the unique advantages of online corpus to assist English teaching, it proposes the targeted teaching of English metaphorical vocabulary and combines the Word2Vec word embedding model and the cosine similarity algorithm to propose a model for analyzing the quality of English text coherence. Based on the characteristics of writing vocabulary in microtexts of the corpus, the analysis integrates the dimensional features of English writing vocabulary teaching. The effectiveness of the corpus-based efficient teaching model for English literacy teaching is verified through teaching practice, specifically utilizing the average values of pre- and post-tested vocabulary, sentences, and chapters of the two classes as comparison data. The results proved that the average value of the pre-test scores of all students in the experimental class is 7.78, and the average value of the post-test is 10.72, which is 2.94 higher than the pre-test. The English teaching model in colleges and universities based on corpus micro-text analysis can significantly improve the English writing level of students and achieve efficient English teaching.

The role of pronouns in achieving textual coherence in the words of Allama Majlisi in the book Al-Mukhtaqkez of Objective Interpretation in Bihar Al-Anwar (A descriptive and analytical study)

The pronouns play an important role in making verbal mechanisms of verbal cohesion in the real linguistic context; because they refer to antecedents or postpositions and this text consists of names or sentences that form a syntactic structure that contributes to the cohesion of meaning in the text; it makes the text have a semantic feature that shows the intention of the text for the listener.
 If it is true that the pronouns had an important role in explaining the meaning of the signatory's speech in interpreting verses of the Quran, because his interpretation was rich with compatible and harmonious pronouns with the verses of the Quran that he interpreted and what it includes opinions, meanings and knowledge with verses of the Quran, then his interpretation is a matter of using it as a reference pronoun in accordance with its content and economy for speech, as well as participating in linking descriptive from among reference antecedents (the letter, and alif, and na) and reference postpositions (the pronoun) .

Improving the Law on International Treaties 2016 from the Perspective of Legal Document Drafting Techniques

The quality of a legal document is affected by its drafting techniques. The Law on International Treaties 2016 was promulgated before the issuance of Resolution No. 351/2017/UBTVQH14 dated March 14, 2017, which stipulates the format and drafting techniques of legal documents. This article analyzes the technical limitations of the Law on International Treaties 2016, including issues related to its structure, the lack of text cohesion, and the inconsistencies in expression and word usage. In addition, the author makes several recommendations to improve drafting techniques of this Law.

Blue Eyes Technology: The Secret Behind ChatGPT’s Human-Like Abilities

ChatGPT is a powerful language model that can generate natural and coherent text responses based on a given context. In this paper, we explore how ChatGPT can be used as a Blue Eyes Technology, a term that refers to the use of artificial intelligence to create human-like interfaces that can see, hear, and speak. We present several use cases where ChatGPT can leverage its voice and image capabilities to assist users with various tasks, such as language translation, education, entertainment, and customer service. We conclude that ChatGPT is a promising tool for enhancing human-computer interaction and creating more personalized and immersive experiences. Keyword: Data Acquisition Unit, Central System Unit, Blue Eyes technology

Move analysis of Hungarian English majors’ academic oral presentations

The academic oral presentation (AOP) is an important aspect of English majors’ academic training. Besides a sound knowledge of the field, the AOP requires complex linguistic, sociocultural, pragmatic and discourse competences in the foreign language, of which the present study focuses on discourse competences comprising the ability to create coherent texts complying with the discourse community’s genre-specific expectations. While the discourse structure of written academic genres has been widely researched based on Swales’s (1990) Move Structure Theory, interest in oral academic genres including the AOP, an important educational tool to foster the disciplinary socialisation of university students, has been more modest. The present study aims to contribute to this field by mapping out the move structure of the Introduction and Conclusion macrostructure components of Hungarian English majors’ AOPs. The analytical framework of the investigation is Chang and Huang’s (2015) move structure model, adapted for the investigation of TED talks, so it also provides an opportunity to compare the discourse structure of TED talks and that of AOPs. The results suggest that the Introduction components of the AOPs and TED talks tend to be similar both in terms of their move structure and the proportion of text devoted to them. However, the characteristic moves of the Conclusion and the implementation of moves both in the Introduction and Conclusion demonstrate several differences deriving from the differing context of the two lecture types and experience of speakers, which the study will discuss in detail.

Textual Cohesion as a Way of Revealing the Deep Artistic and Psychological Propertiesof N.M. Karamzin's «Poor Lisa»'s the Narrator

Based on the material of N.M. Karamzin's novel «Poor Liza» from thestandpoint of an interdisciplinary approach at the intersection of text theory, literary studies, and psycholinguistics, the possibilities of textual cohesion are considered in order to identify the deep artistic and psychological properties of the
 narrator's image. The research is conducted in the aspect of analyzing the processof artistic and psychological meaning generation associated with the deep features of the hero.
 This approach makes it possible to detect patterns of functioning of implicit information leading to the specified properties. The manifestations of cohesion that have the potential to extract implicit textual information about the artistic and psychological properties of the narrator are considered 1) at the plotcompositional level: text editing – the juxtaposition of replicas, the plot embodiment of the previously named possible situation (realization of premonitions; 2) at the level of expressive means (intonation, emotional colouring, phonetic filling of
 rhythmic groups, key elements). Techniques of emotional influence on the reader and ways of attracting his attention are revealed.
 Conclusions are drawn about the aesthetic possibilities of cohesion in detecting the artistic and psychological properties of the hero 1) in a dialogue, the artistic and psychological background of which is non-verbalized presuppositions
 associated with the sphere of relationships; 2) within the contrast of the cognitive and emotional content of the dialogue participants' replicas.
 Cross-connectivity by means of cohesion acts as a textual signal of implicit information.
 The materials of the article can be used in research and teaching activities, literature courses of the XVIII century, special courses.

Elements of storytelling in student essays

Using the example of essays by first-year students of the Faculty of Sociology, SPbSU, written as part of the assignments in the course “Russian Language and Culture of Speech” in 2023, the author analyzes the elements of storytelling encountered in their work. It is noted that in general students have an idea of composition, plot, characters, development of action, etc., but often they do not clearly understand the specifics of the narrative, cannot always maintain a style, cannot create a structured and logically coherent text. Dramatic, even tragic situations are used to add greater expressiveness; characters move freely in time and space; most often an internal conflict is used to develop the action; less popular are the struggle of motives and the clash with their own conscience; external conflicts (confrontation with family) are isolated. A common shortcoming of many essays is the plot and structural incompleteness, when there is no logical or compositional point that would complete the narrative.

Assessment of various GPT Models versus the human text: a quantitative analysis of lexis and cohesion

The aim of the paper is to analyse select lexical parameters and text cohesion of academic texts automatically generated by several OpenAI LLM models (GPT) in order to (1) investigate the quality of GPT output relative to the original text; (2) compare the quality of various GPT models. The material used in the study comprised a fragment of a research article. The method of analysis involved NLP-based text analysis tools that focus on the examination of various lexical and text cohesion parameters. The study shows that the similarity between AI-generated texts and the text written by the human author is very high and that there is no single model which would achieve the highest values for all linguistic indices.

Generative Artificial Intelligence: Fundamentals

Generative language models have witnessed substantial traction, notably with the introduction of refined models aimed at more coherent user-AI interactions—principally conversational models. The epitome of this public attention has arguably been the refinement of the GPT-3 model into ChatGPT and its subsequent integration with auxiliary capabilities such as search features in Microsoft Bing. Despite voluminous prior research devoted to its developmental trajectory, the model’s performance, and applicability to a myriad of quotidian tasks remained nebulous and task specific. In terms of technological implementation, the advent of models such as LLMv2 and ChatGPT-4 has elevated the discourse beyond mere textual coherence to nuanced contextual understanding and real-world task completion. Concurrently, emerging architectures that focus on interpreting latent spaces have offered more granular control over text generation, thereby amplifying the model’s applicability across various verticals. Within the purview of cyber defense, especially in the Swiss operational ecosystem, these models pose both unprecedented opportunities and challenges. Their capabilities in data analytics, intrusion detection, and even misinformation combatting is laudable; yet the ethical and security implications concerning data privacy, surveillance, and potential misuse warrant judicious scrutiny.

The Scene of the “Holiday” in the Draft and Printed Text of Dostoevsky’s “Demons”

The article analyzes the material of the draft manuscript of F. M. Dostoevsky’s novel “Demons”, specifically, the pages containing the scene of Karmazinov reading his work “Merci”. The draft manuscript of the novel “Demons” is a syntactically coherent text containing a large number of author’s edits between the lines and in the margins. The analysis of the manuscript made it possible to identify inaccuracies in its reading by publishers that negatively affect the interpretation of the text. In addition, this analysis helped to correct these errors and accompany them with the necessary textual commentary, affecting, in particular, such problems as the establishment of the text, the identification and analysis of new discrepancies (variants) between the sources of the text, as well as text omissions in print. The textual part of the work is continued by the historical-literary and real commentary proposed in the article based on the newly discovered information about the features of the creation of the artistic concept of “Demons,” explaining the significance of literary and historical motifs that are associated with ancient culture and history for the novel plot. In the process of analyzing handwritten and printed sources, literary and historical allusions were established, which the specified episode of the novel “Demons” contains. In addition, the article examined the historical subtext and symbolism of ancient motifs that were reflected in the scene of literary reading in “Demons,” as well as the content of some historical sources (works by ancient authors on the history of Ancient Rome; lectures by T. N. Granovsky, who became the prototype of the hero of the novel, Stepan Trofimovich Verkhovensky). New information revealed during the study of the draft manuscript of “Demons” indicates, on the one hand, that the ancient “trace” played an important role in the development of the idea of this novel, on the other hand, the complexity of the novel’s narrative structure.

Förutsättningar för ämnesspecifik läsförståelse i samhällskunskap i grundskolan

This paper deepens the understanding of conditions for students' subject-specific reading comprehension created through different ways of working with reading in civic education, and the support students thus get to read verbal texts. Motivation for the study is found in an increasing need for knowledge about reading in various school subjects, and theoretical foundation is found in New Literacy Studies and disciplinary literacy. Video recordings were analyzed from lessons in three different schools and six different classes (ca 100h in total). The schools worked with reading in different ways, two schools used different models for teaching reading and one school did not use any particular model. The material was analyzed using thematic content analysis. Seven different functions for reading were identified together with reading materials. Furthermore, we analyzed which text levels were in focus. Results show that the classrooms where teachers work according to special models give clearer support to read and comprehend longer coherent verbal texts by using this type of texts and working with them through a variety of functions for reading activities, activities general for several subjects as well as more subject specific activities.

THE COHESION AND COHERENCE IN BARACK OBAMA’S SPEECH TEXT “FINAL PRESIDENTIAL PRESS CONFERENCE OF YEAR”

This research aimed at analyzing the cohesion and coherence in Barack Obama’s speech text “Final presidential press conference of year”. This research designed by the qualitative method with descriptive approach. Then, researcher used the Miles, Huberman, & Saldana theory to analyze the cohesion and coherence in the speech text. The result of this research showed all of cohesion and coherence devices were found. The data of this research were words and phrases. Based on summary of the result, that Barack Obama’s speech text “Final Presidential Press Conference of Year” contained grammatical cohesion devices, they are reference (34), subtitution (1), ellipsis (12), and conjuntion (60). And then, it contained the lexical cohesion devices. They are; reiteration (47) and collocation (11). Moreover, it contained the coherence devices. They are; repeat key nouns (9), consistent pronoun (5), transition signals (53), and the ideas in the speech text are arranged structurally. Based on the research finding, in the spech text, the cohesion devices dominanted in grammatical cohesion, especially in using conjuction. And the coherence devices dominanted in using transition signals. It is suggested that English learners’ should pay attention about the usage of cohesion and coherence in order to create a good text as well as a speech. For the teachers, hopefully this research could be used to enrich their teaching material. And for the next researcher, can get information and knowledge to create a text grammatically and semantically.