Coherent Text Research Articles

The Use of Particles in Ngapak Bumiayu Language: A Study of Systemic Functional Linguistics

This study explores the use of particles in Ngapak Bumiayu, a Javanese dialect spoken in Bumiayu, Brebes, Central Java, using Michael A.K. Halliday's Systemic Functional Linguistics theory. Data was collected from everyday conversations of native speakers using a descriptive analysis method. The identified particles—kok, lho, kok ya, toh, wis, and bar—each have unique roles in sentence structure and meaning. The ideational metafunction shows that these particles enrich the information in sentences. Without particles, sentences present straightforward facts, but with particles, they carry additional nuances that enhance the message. For the interpersonal metafunction, particle placement affects meaning. Kok can be in any sentence position, conveying surprise or emphasis. Lho emphasizes attention. Kok ya, typically at the beginning or middle, shows wonder and affirmation. Toh, usually at the end, indicates finality. Wis, in the middle or end, signifies completion or agreement. Bar indicates ongoing or recent actions. The textual metafunction highlights particles' role in maintaining text coherence and cohesion. They ensure consistency and continuity in discourse through repetition, serving as connectors (referential cohesion), and maintaining consistent meanings across contexts (lexical cohesion). These particles are essential for structuring and organizing information in sentences and conversations. These findings illustrate the significant role of particles in enhancing communication, structuring information, and providing nuanced meanings in the Ngapak Bumiayu language.

A Literature Review on Karabakh Women Poets of the 19th Century

The 19th century was the beginning of a period in the history of Azerbaijan in which new views, different approaches, and judgments emerged. The upheavals in social life as a matter, of course, led to the awakening of literary and artistic thoughts, and enlightenment, and elucidated the development of public, ethnic, and national identity. In the 19th century, the poetic assemblies functioning in Karabakh contributed to the development of literature, especially poetry, and the inclusion of poetry in social life and its impact on it. Thanks to the "Meclis-i Uns" and "Meclis-i Feramushan" literary assemblies, poets living in Karabakh came together and depicted the problems of the period, social life, and nature in their poems. Referring to these literary samples, it is feasible to see the view of 19th-century Karabakh. Aghabeyim Agha, Khurshidbanu Natavan, Fatma Khanim Kamina, and Ashuq Peri were female poets grown up in the Karabakh literary environment in the 19th century. Research related to the life, art, and literary personality of women poets who grew up in Karabakh was thoroughly scrutinized and investigated based on the qualitative method in the article. As a result of our research, we have come to the following conclusions; There is a need to prepare coherent comparative texts from the work of female poets. The works of these poets were published due to the permission of Soviet censorship. Poems with religious content were not included in these books, and Sufi works were presented as secular and divine poems. Keywords: Karabakh, Enlightenment, Poet, Literary Heritage, Azerbaijan.

Methods of Developing Students’ Writing Activity

The article notes that the writing activity of students has acquired paramount importance and the need to use various techniques for it. Development of students’ writing activity during the learning process. After listening to the exercises in the classroom, students make corrections by marking (*) and express their opinions in order to improve the content of the written work. The teacher evaluates the overall level of work by asking what topic the written work likes. Some of the textbook exercises can also be done in this way. When teaching Kyrgyz as a foreign language, work is underway on the “History of the Pyramid,” which was considered as a method of teaching students to freely express their thoughts and opinions as an author or character. Here students work individually, in pairs and groups. The pyramid diagram is provided as a reference (1-2-3-4-5-6-7-8). Each step tells you what words to write, resulting in coherent text and telling a story. Each student writes creatively according to his own abilities and uses artistic means of expression.

Textual Coherence in the Language of the Novel "Al Rabi’ Al ‘Asif” and Its Impact on Constructing Textual Meaning: Al Tafsil Ba’da Ijmal as a Model

Textual Coherence in the Language of the Novel "Al Rabi’ Al ‘Asif” and Its Impact on Constructing Textual Meaning: Al Tafsil Ba’da Ijmal as a Model

Discourse-Pragmatic Borrowing in South African English

This paper explores five borrowed discourse-pragmatic features—wena, mna/mina, yazi, phela, and ke—which are transferred from indigenous South African languages into South African English, with the objective of investigating their frequency, position, collocational patterns, and discourse-pragmatic functions. The data, which are taken from the South African component of the Global Web-based English corpus, are analysed quantitatively and qualitatively, from a postcolonial corpus pragmatic framework. The results show that the discourse-pragmatic features are generally infrequent, orthographically stable, and prefer the clause-initial position. The paper indicates that wena is used as an address term to call for the addressee’s attention, mna/mina is used to emphasise personal identity, while yazi seeks confirmation of and signals shared knowledge. Phela is an emphasis marker, while ke indicates contrast, textual coherence, and emphasis. This study underscores the contributions of indigenous South African languages to the discourse-pragmatic features of South African English.

Comparative Study on Automated Reference Summary Generation using BERT Models and ROUGE Score Assessment

Automatic text summarization is a sub-area in text mining in which a computer system determines the most informative information in the original text to produce a summary for certain jobs and users. In the development of the systems, one of the most important tasks is to evaluate the quality of summaries produced by the systems. Generally, the evaluation task becomes laborious, time-consuming, and expensive because it requires significant efforts on annotation tasks for humans to manually create reference summaries. Being able to generate automatic reference summaries would promote the development of summarization systems in term of speed and evaluation. In this paper, we proposed an Auto-Ref Summary Generation framework for automatically generating reference summaries used in the generic text summarization evaluation task, the Sliced Summary. Given a set of clusters from a cluster ground-truth label dataset, variants of BERT models were utilized for creating cluster representations. The automatic reference summaries were later generated through a centroid-based summarization approach. Overall, DistilBERT, ROBERTa, and SBERT have played crucial roles in automatic summary generation, achieving the highest ROUGE-1 score of 0.47060. However, this does not meet our expectation on text coherence and readability aspects. Although the summaries generated through our proposed framework could not be used as the replacement of the manual summaries, this study has shed new light on the acquisition of automatic reference summaries from a ground-truth label dataset.

화제 구조 분석을 활용한 보고서 고쳐쓰기 교수-학습 모형의 효과 연구

This study aims to evaluate the effectiveness of a teaching-learning model that focuses on revising report introductions to enhance academic writing skills. Devel oped as an interactive activity grounded in various pedagogical theories, this model was analyzed for its influence on student proficiency in academic writing. The investigation focused on identifying changes in both the control and experimental groups enrolled in a writing course tailored for international students at S Univer sity during the first semester of 2022. Text coherence, topic structure, and genre adaptation were examined by analyzing 21 sets of initial and revised introductions from the control group and 25 sets from the experimental group. The findings revealed noticeable fluctuations in the composition of both groups following the rewriting process, with the experimental group exhibiting a marked enhancement in conveying essential themes. These results suggest the potential utility of this instructional approach in enhancing academic writing skills among foreign college students, offering valuable insights for future educational practices and evaluation methodologies.

Exploring High School English Teaching Strategies for Continuation Writing based on Discourse Cohesion Theory

As a new type of question under the background of the new college entrance examination, continuation writing requires the writer to continue the article based on the context provided in the previous text, supplemented by the situational context of the article, and ensuring the logical coherence of the content. Discourse cohesion theory focuses on the coherence of grammar and vocabulary in discourse organization, aiming to construct a complete and coherent discourse text. The cohesive means under this theory can help writers to produce a well-structured, logically clear, and coherent article to a certain extent. Starting from the concept and existing problems of continuation writing, this article analyzes and explores the points of convergence between discourse cohesion theory and continuation writing, and proposes several teaching strategies to better guide writing teaching and improve students' writing ability. From the perspective of discourse cohesion theory, teachers can guide students to select appropriate referencing methods, plan the overall layout, pay attention to smooth connections, maintain logical clarity, and skillfully use substitution and ellipsis to refine language, making the writing process more efficient.

RECIPE GENERATION BASED ON FOOD IMAGE USING MACHINE LANGUAGE

Recipe generation based on food images using machine learning (ML) is an emerging area that combines computer vision and natural language processing techniques to automatically generate recipes from images of dishes. This paper proposes a novel approach to address this problem by developing a deep learning-based system capable of recognizing ingredients and cooking methods from food images and generating coherent recipe texts. The system aims to assist home cooks, culinary enthusiasts, food bloggers, and businesses in discovering and creating new recipes from visual cues. KEYWORDS: Recipe generation, food image recognition, machine learning, computer vision, natural language processing, Recipe generation model, Cooking automation, Recipe inference, Ingredient detection, Recipe understanding, Computer vision for cooking, Recipe composition, Culinary content generation

An Exploratory Analysis of Linking Adverbials in Research Articles Across Different Disciplines

Writing empirical research papers that comply with disciplinary conventions is a goal that many students, especially at the tertiary level, aspire to achieve. While playing a crucial role in constructing coherent texts, linking adverbials are typically depicted as a static collection of interchangeable elements lacking inherent meaning, and often receiving minimal consideration for their discipline-specific functions. Most of the previous studies on linking adverbials have focused on the frequency of use across different proficiency levels; there has been little corpus-based research on how these connectives function across different disciplines. This paper examines the potential variations in the use of linking adverbials in Nursing and Applied Linguistics empirical research articles. Using AntConc software, a corpus of eighty research articles, 40 articles in Nursing and another 40 in Applied Linguistics, were compared in terms of their frequency use, function, and placement preferences of linking adverbials. Findings revealed that the two corpora differ considerably in frequency, semantic function, and, to a lesser extent, the placement of linking adverbials in each discipline. Such variations are attributed mainly to the way linking adverbials are used to present and strengthen authors' arguments in each discipline.

The realisation of text coherence trough conceptual metaphors in the Albanian and English language

The realisation of text coherence trough conceptual metaphors in the Albanian and English language

LITERARY DISCOURSE, ITS VARIETIES AND PUNCTUATION

The article explores the role of punctuation marks in literary fiction discourse, focusing on their impact on text structuring, meaning formation, and the reader's perception of the work. Discourse is defined as a coherent text with ontological and epistemological properties, and the article distinguishes between the usual and occasional use of punctuation marks in a text. The former provides clarity and unambiguity to the work, while the latter is used to achieve special stylistic effects. Punctuation marks are essential in organizing the semantic structure of the text and contribute to meaning-making by setting accents and emphasizing key points. Overall, punctuation plays an important role in encoding and decoding meaning, helping the author express their ideas and intentions while allowing the reader to interpret them correctly.

Grammatical Cohesion in Discourse Translation: A Case Study of The Old Man and the Sea Translated by Wu Lao

Discourse is used as the basic translation unit in most literary translations. Discourse translation should pay more attention to textual cohesion. Cohesion refers to that the parts of one paragraph are connected grammatically or lexically. This connection may exist between different sentences or several parts of a sentence. Cohesion is an important feature of discourses and the core of discourse research. This paper will take Hemingway's novel The Old Man and the Sea and Mr. Wu Lao's translation as examples to show the concrete embodiment and application of grammatical cohesion in literary translation.

From virtual assistant to writing mentor: Exploring the impact of a ChatGPT-based writing instruction protocol on EFL teachers’ self-efficacy and learners’ writing skill

Language teaching is a highly emotional profession that can affect the teachers’ well-being and learners’ achievement. However, studies have yet to explore the potential of positive psychology interventions and artificial intelligence (AI) tools to promote the psycho-emotional aspects of second language (L2) teachers and learners. Further, studies regarding the effectiveness of AI in promoting the learners’ language skills could have been expansive. Responding to these gaps, researchers chose ChatGPT, an AI-powered chatbot capable of generating natural and coherent texts, as a potential tool to foster positive emotions and interactions between Iranian English language teachers ( n = 12) and learners ( n = 48) in the L2 writing context. We operationalized ChatGPT in a three-phased writing instruction protocol (CGWIP): (1) a planning phase, where teachers used ChatGPT to brainstorm ideas and generate outlines for each session; (2) an instruction phase, where teachers used ChatGPT to engage the learners in writing process, analyse and reflect on their drafts, and (3) an assessment phase, where teachers used ChatGPT to simulate IELTS writing exam and provided detailed and constructive feedback to the learners. We further tested the effectiveness of CGWIP on teachers’ self-efficacy and learners’ writing skills before and after a 10-week instruction program. The Independent Samples t-test results showed that CGWIP significantly enhanced teachers’ self-efficacy compared to the control group. Also, the results of One Way ANCOVA revealed that CGWIP significantly improved learners’ writing skills and that these effects persisted over time. The study implied that the protocol can nurture teachers’ efficiency by helping them in various aspects of L2 writing instruction, including brainstorming, revising, providing feedback, and assessment, which in turn, improves learners’ writing skills.

Comparison of automatic summarization of texts in Russian

The subject of the research in this article is the generalization of texts in Russian using artificial intelligence models. In particular, the authors compare the popular models GigaChat, YaGPT2, ChatGPT-3.5, ChatGPT-4, Bard, Bing AI and YouChat and conduct a comparative study of their work on Russian texts. The article uses datasets for the Russian language, such as Gazeta, XL-Sum and WikiLingua, as source materials for subsequent generalization, as well as additional datasets in English, CNN Dailymail and XSum, were taken to compare the effectiveness of generalization. The article uses the following indicators: ROUGE, BLEU score, BERTScore, METEOR and BLEURT to assess the quality of text synthesis. In this article, a comparative analysis of data obtained during automatic generalization using artificial intelligence models is used as a research method. The scientific novelty of the research is to conduct a comparative analysis of the quality of automatic generalization of texts in Russian and English using various neural network models of natural language processing. The authors of the study drew attention to the new models GigaChat, YaGPT2, ChatGPT-3.5, ChatGPT-4, Bard, Bing AI and YouChat, considering and analyzing their effectiveness in the task of text generalization. The results of the generalization in Russian show that YouChat demonstrates the highest results in terms of the set of ratings, emphasizing the effectiveness of the model in processing and generating text with a more accurate reproduction of key elements of content. Unlike YouChat, the Bard model showed the worst results, representing the model with the least ability to generate coherent and relevant text. The data obtained during the comparison will contribute to a deeper understanding of the models under consideration, helping to make a choice when using artificial intelligence for text summarization tasks as a basis for future developments.

The duality of cohesion and coherence in Ibn Zurayq's poem "Do Not Reproach Him"

This research conducts an in-depth examination of discourse analysis tools specifically cohesion and coherence within the poem "Do Not Reproach Him" by the Baghdadi poet Ibn Zurayq. The research highlights five essential tools such as references, substitution, deletion, conjunction and lexical cohesion while focusing on the concept of cohesion to examine the nuances of textual utterance. Additionally, it integrates coherence theory focusing on elements such as overall structure, titling, background knowledge, intentional title and suggestiveness and adherence to contextual interpretation and context. The results highlight a significant lack of coherent features in the poem particularly the complete lack of proper nouns. Nevertheless, various cohesion strategies assist in achieving a level of textual cohesion and semantic consistency that is considered acceptable. This is facilitated through interpretation that supports the overall harmony of the poem. According to the study, the poet was often dispersed and unbalanced which made the audience sympathetic when they read the poem. Remarkably, this sentiment endures over time, persisting long after the composition of the poem. The study underscores the enduring impact of the poet's portrayal of dispersion and imbalance resonating with readers through the years and offering valuable insights into the lasting emotional and textual resonance of poetic compositions.

The issue of ellipses and its effect on textual cohesion: An applied linguistic study on an Umayyad poem

هدفت هذه الورقة إلى الوقوف على ظاهرة الحذف عند القدماء والمحدثين، وكذلك على مفهوم النص ومعالجته في التراث الأدبي، ومن ثم معالجته عند المحدثين من جانبين: أولا في ضوء النحو التوليدي، وثانيا في ضوء علم لغة النص. تبنت الدراسة المنهج الوصفي التحليلي لقصيدة من قصائد الشعر الأموي، فأتخذ الإطار التطبيقي جانبين: أولا: جانب تقليدي يهتم بحكم حذف العنصر المحذوف في النحو العربي، ونوعه، والبنية الأساسية، والبنية السطحية لتراكيبه وفقا لقواعد النحو التوليدي. وثانيا: جانب نصي إحصائي يهتم بتعدد وتكرار المحذوف ومرجعيته على مستوى النص كافة. تمثلت مشكلة الدراسة في سؤالين جوهريين: ماهي الوظيفة التي تقدمها ظاهرة الحذف في النص الشعري التراثي؟ وما هو الأثر الذي يحققه غياب العنصر المحذوف في النص ذاته، ومتلقيه؟ توصلت الدراسة إلى مجموعة من النتائج من أهمها: أولا: إن الشاعر الأموي تمكن من توظيف أداة الحذف؛ ليجعل النص محبوكا متماسك نحو هدف واحد، وهو: التعبير عن شقائها في العشق. ثانيا: تنوعت المحذوفات من حيث نوع الكلمة إلا أن غياب العنصر المحذوف الأكثر تكررا - اسم المحبوبة- دل على أن القصيدة تتماسك لتبرز موضوعا واحدا، هو: فقد المحبوبة. ثالثا: تعددت أغراض الحذف إلى جانب غرض تماسك النص، فكانت تارة للمحافظة على القافية أو لغة الشعر، وتارة أخرى لمقاصد نحوية.رابعا: أظهر التحليل النحوي أهمية أداة الحذف في البنية السطحية، ومدى قدرته على توسيع الدلالة عند احتمالية معانٍ كثيرة ترتبط بما هو مذكور في السياق. وفي الختام استنتجت الدراسة أن الجمع بين الدراسة التقليدية والدراسة النصية لا غنً عنه في ظل الدراسة النصية. وأخيراً توصي الدراسة بإجراء المزيد من الدراسات الحديثة على النصوص التراثية، وبالتالي إحياء النص القديم من خلال تطبيق نظريات علم اللغة الحديث.

<b>Textual Coherence in the News of the Revenge of the Poet Imru' al-Qais: A Study in the Light of Textual Linguistics</b>

يكشف هذا البحث عن الترابط النصّي في خبر رحلة امرئ القيس في طلب ثأر أبيه من بني أسد برواية ابن الكلبي، في ضوء علم اللغة النصي؛ كون الترابط النصي وسيلة فعالة في بناء الكلام، وقائمة على الاتساق الناتج عن العلاقات القائمة بين أجزاء النص وأدواته؛ والانسجام الناتج عن العلاقة المعنوية الخاصة بين جمل العبارة أو النص؛ لأن الجملة العربية ما هي إلا مقولة قول تركيبية، والترابط فيها علاقة دلالية. وغايتنا في ذلك معرفة أثر ذلك الترابط في انسجام النص واتساقه، عن طريق تأويل العلاقات القائمة بين الوقائع. وسيتناول البحث هذا الموضوع من ناحيتين؛ الأولى الروابط اللفظية، والأخرى الروابط المعنوية؛ ليخلص البحث إلى أن هذا الخبر عبارة عن متوالية نصية تحوي العديد من المتلازمات اللفظية التعبيرية المكونة من الجمل والعبارات ذات الدلالات المتواترة في ترابط سياقها البنائي؛ إذ أسهمت فيه جملة من الروابط المتكاتفة الآخذة بعضها بحجز بعض، لترصف بناء متناسقًا كليًا نابعًا أو مبنيًا من توالي هذه الروابط اللفظية، وما تربط من مفاهيم جزئية تعمل على إيصال رسالة النص وفق إطارها العام. وقد تمكن بها الراوي من إيصال مضامينه إلى المتلقين عبر رسالة واضحة تكاملت شكلًا ومضمونًا في حبكة ذات سلاسة وحراك ينتهي إلى نهاية مصيرية مأساوية.

Перцепцията на аористни форми с тематична гласна -а- вм. -о- (ново изследване)

This paper presents and analyses the results of a non-representative survey on the perception of aorist forms with an unstressed thematic vowel -a- instead of a thematic vowel -o-. My primary objective is to validate the hypothesis that the ability to identify errors of this nature in spoken language depends on the individual's perceptual style. The study encompasses diverse texts that vary in the level of concentration and attention exhibited by the listener. Four perceptual styles are employed: listening to a brief, coherent text; a simple sentence; a three-word list; and a single word. The analysis also evaluates the accuracy of the hypothesis concerning the relationship between respondents' sociodemographic characteristics and their success in identifying the error in aorist forms with an unstressed thematic vowel -a- instead of -o-.

Smooth it up!: Extractive summary coherence enhancement

The paper focuses on the importance of coherence and preserving the breadth of content in summaries generated by the extractive text summarization method. The study utilized the dataset containing 16,772 pairs of extractive and corresponding abstractive summaries of scientific papers specifically tailored to increase text coherence. We smoothed the extractive summaries with a Large Language Model (LLM) fine-tuning approach and evaluated our results by applying the coefficient of variation approach. The statistical significance of the results was assessed using the Kolmogorov-Smirnov test and Z-test. We observed an increase in coherence in the predicted texts, highlighting the effectiveness of our proposed methods.