Coherent Text Research Articles

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.

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.

Qualitative Writing: Exploring Cul-de-Sacs and Alleys

Writing qualitatively is an immersive experience divergent to other forms of research writing. It is an active construction of reality characterized by integration of the socio-cultural context and in-depth analysis of data viewed through the lens of the writer’s own experience of the phenomenon. However, these characteristics prove challenging and qualitative researchers are often at a loss on how to document their findings. Most studies provide a broad sweep of qualitative writing with few explicit examples in practice which further confounds researchers. Consequently, researchers find qualitative writing exacting and intimidating and tend to present their findings objectively with either scarce or excessive reference to the research paradigm, thwarting the full transformative potential of qualitative research. Drawing on my experience as an interpretive phenomenologist, I present the writing cul-de-sacs and alleys I navigated to illustrate my becoming as a qualitative writer. Specifically, I highlight three distinct strategies to write it right, qualitatively. To maximize findings, the writing style should conceptually align with the research philosophy. Textual cohesion and a multi-dimensional view of social reality can be generated through a mixed-genre writing approach. Finally, making the “I” meaningful by incorporating the researcher’s experiences into the text affords a deepened understanding of the phenomenon. Tenaciously navigating cul-de-sacs in writing and finding solutions to exit no through roads, and walking those shadowy alleys of theoretical constraints, stylistic impositions, and tight word space endow a concrete visibility to the otherwise blurry aspects of life.

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence

Measuring the coherence of text is a vital aspect of evaluating the quality of written content. Recent advancements in neural coherence modeling have demonstrated their efficacy in capturing entity coreference and discourse relations, thereby enhancing coherence evaluation. However, many existing methods heavily depend on static embeddings or focus narrowly on nearby context, constraining their capacity to measure the overarching coherence of long texts. In this paper, we posit that coherent texts inherently manifest a sequential and cohesive interplay among sentences, effectively conveying the central theme, purpose, or standpoint. To explore this abstract relationship, we introduce the "BB Score," a novel reference-free metric grounded in Brownian bridge theory for assessing text coherence. Our findings showcase that when synergized with a simple additional classification component, this metric attains a performance level comparable to state-of-the-art techniques on standard artificial discrimination tasks. We also establish in downstream tasks that this metric effectively differentiates between human-written documents and text generated by large language models within specific domains. Furthermore, we illustrate the efficacy of this approach in detecting written styles attributed to various large language models, underscoring its potential for generalizability. In summary, we present a novel Brownian bridge coherence metric capable of measuring both local and global text coherence, while circumventing the need for end-to-end model training. This flexibility allows for its application in various downstream tasks.

Error Analysis of College English Writing Based on the Cohesion and Coherence Theory

Although much has been discussed about error analysis around the world, it has been one of the least investigated learning/teaching writing in ELT in China. Cohesion and coherence are two important factors in the discourse analysis. The paper reports the results of a series of linguistic statistic methods, in which learners were invited to write a CET-4 composition, and two experienced teachers were asked to analyze errors based on Cohesion and Coherence Theory. The study reveals that students have difficulty in using conjunction and lexical cohesion and are weak in logical reasoning and argument. The paper argues that college students and teachers who teach English writing are supposed to focus more on how to improve cohesion and coherence in texts rather only on the linguistic level, which can be used for reference for the teaching of English writing.

Teaching Large Language Models to Translate with Comparison

Open-sourced large language models (LLMs) have demonstrated remarkable efficacy in various tasks with instruction tuning. However, these models can sometimes struggle with tasks that require more specialized knowledge such as translation. One possible reason for such deficiency is that instruction tuning aims to generate fluent and coherent text that continues from a given instruction without being constrained by any task-specific requirements. Moreover, it can be more challenging to tune smaller LLMs with lower-quality training data. To address this issue, we propose a novel framework using examples in comparison to teach LLMs to learn translation. Our approach involves output comparison and preference comparison, presenting the model with carefully designed examples of correct and incorrect translations and an additional preference loss for better regularization. Empirical evaluation on four language directions of WMT2022 and FLORES-200 benchmarks shows the superiority of our proposed method over existing methods. Our findings offer a new perspective on fine-tuning LLMs for translation tasks and provide a promising solution for generating high-quality translations. Please refer to Github for more details: https://github.com/lemon0830/TIM.

Occurrence of Ellipsis and Shift in French-English Translation: A Study of <i>Madame Bovary</i>

Ellipsis is a cohesive device that omits an element or elements in a sentence whose interpretation depends on presupposition in the context; it is about linguistic changes that occur in translation. This study aims to describe ellipsis, shift and their effect on meaning in French-English translation. The study is a qualitative research study carried out manually on <i>Madame Bovary</i>. The novel is wholly read, and passages of the novel which demonstrate cohesive devices of ellipsis and shift are selected and analysed. This study is supported by Halliday and Hasan’s theory (1976) of textual cohesion and Catford’s theory (1965) of translation shifts. The analysis reveals that English is more elliptical, whereas French is more demonstrative due to some language peculiarities and language norms. It specifies that some language peculiarities (concreteness and abstractness) and language norms (language usage options) are determinants of the translation procedures of ellipsis from French into English. Class shift and modulation are the translation procedures that are more functional than other shift categories and translation procedures in dealing with ellipses in French-English translation.

Bakhtin’s Philosophical Anthropology in Translation: Rhetoric Devices and Text Cohesion

The concepts developed by Mikhail Mikhailovich Bakhtin, a Russian theoretiсian of the 20th century, have had an important impact on the evolution of paradigms in humanities. However, his later works on literary theory continue to be far better known than his early essays on philosophical anthropology despite their key role in shaping Bakhtin’s thought. Published achronologically and imbued with innovative terms, Bakhtin’s works were sometimes translated by those who were unfamiliar with his concepts. The purpose of this study is to examine one of the earliest Bakhtin’s essays, Author and Hero in Aesthetic Activity , through a comparative perspective. The analysis is based on its French (1984) and English (1990) translations. It aims at revealing how the mechanisms of text cohesion and rhetoric are rendered in translation in order to convey the author’s ideas. The analysis has shown that the strategies chosen by the translators into French and English do not coincide and vary from ellipsis in French to amplification in English. The choice of coreferential models turns out to play a crucial role in structuring ideas in the target texts.