Investigating the Impact of Rater Training on Rater Errors in the Process of Assessing Writing Skill by İsmail Karakaya, Mehmet Şata

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Show Me All Writing Errors: A Two-Phased Grammatical Error Corrector for Romanian by Mihai-Cristian Tudose, Stefan Ruseti, Mihai Dascalu

“…Nowadays, grammatical error correction (GEC) has a significant role in writing since even native speakers often face challenges with proficient writing. …”
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Academic Writing: A Discipline or Disciplines? by I. M. Zashikhina

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Lexical Errors in English Language Writing – The Case of selected Senior High School students in the Ashanti Region of Ghana by Dorah Mensah, Charles Owu-Ewie, Levina Nyameye Abunya, Albert Abban, Halimatu Sadia Jibril

“…The sample was selected through the systematic random sampling strategy. A model based on Corder’s Error Analysis theory was used to analyse the data. …”
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ANALISIS KESALAHAN EJAAN MAKALAH MAHASISWA ILMU KOMPUTER UNWIRA KUPANG by Giovanni Battista Agung

“…The results indicate that spelling errors remain a recurring and dominant issue in students’ academic writing. …”
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Reducing Quotation Errors in Scientific Manuscripts: A Novel Approach from the Global Andrology Forum by Asli Metin Mahmutoglu, Ashok Agarwal, Bahadir Sahin, Tomer-Avidor Reiss, Pallav Sengupta, Germar-Michael Pinggera, Hiva Alipour, Rossella Cannarella, Christine Wyns, Mohamed Arafa, Aldo E. Calogero, Taymour Mostafa, Eric Chung, Ala’a Farkouh, Ahmad Motawi, Amarnath Rambhatla, Ayad Palani, Giovanni M. Colpi, Murat Gül, Selahittin Çayan, Israel Maldonado Rosas, Taha Abo-Almagd Abdel-Meguid Hamoda, Rupin Shah

Exploring sentence-level revision capabilities of large language models in English for academic purposes writing assistance by Zhendong Du, Kenji Hashimoto

“…Recently, Large Language Models (LLMs) have been extensively utilized in EAP to assist with writing tasks. …”
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OrthoKnow-SP: A Large-Scale Dataset on Orthographic Knowledge and Spelling Decisions in Spanish Adults by Jon Andoni Duñabeitia

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Investigating EFL children’s task motivation concerning the use of models as written corrective feedback by María Luquin, María del Pilar García Mayo

“…This study investigated how the inclusion of model texts as a feedback technique affected students’ task motivation and engagement in writing tasks. …”
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Physics-informed and data-driven thermal modeling and temperature field prediction for thermal field-assisted direct ink writing with PDMS by Xinhua Yao, Yuhan Jiang, Lixin Tian, Xiang Li, Yong He

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Software implementation of the system for learning to write Chinese characters by N. V. Gubanov

“…The purpose of the work is devoted to the development and description of the mathematical model of the Chinese character recognition system, taking into account all the features of writing the Chinese language. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Generative AI in Medical Writing Generative AI tools or “chatbots” combine the adaptive learning capabilities of deep learning algorithms and natural language processing, resulting in a virtual assistant or aide that is capable of answering queries, following commands, and improving its responses according to the vast data available on the Internet in addition to user responses.3 This has allowed the accomplishment of various complex tasks within seconds that would otherwise require hours of trial and error. …”
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Strategy and tactics of writing internal auditors' findings: Between discretion and harsh reality by Drvendžija Jelena

“…A conceptual strategic model is then offered in which internal auditors can write their findings by defining observed problems as instabilities that need to be stabilized and as such consists of: a situation (instability), realistically possible consequences of the situation (risk), and a community-oriented perspective. …”
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ChatGPT in ESL Higher Education: Enhancing Writing, Engagement, and Learning Outcomes by Promethi Das Deep, Nara Martirosyan, Nitu Ghosh, Md. Shiblur Rahaman

“…There were, however, concerns about plagiarism, factual errors, and dependency on AI tools. Although ChatGPT and similar models present promising opportunities and benefits in ESL education, there is a need for structured implementation and ethical guidance.…”
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An Intelligent Diagnosis System for English Writing Based on Data Feature Extraction and Fusion by Yizhou He

“…First of all, B/S architecture is introduced on the basis of the conventional intelligent diagnosis system structure of English writing, which makes up for the problem that the C/S mode is prone to diagnostic errors. …”
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Using Synchronous Online Peer Response Groups in EFL Writing: Revision-Related Discourse by Mei-Ya Liang

“…An environmental analysis of students’ online discourse in two writing tasks showed that meaning negotiation, error correction, and technical actions seldom occurred and that social talk, task management, and content discussion predominated the chat. …”
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Multi-Head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language by Yanfi Yanfi, Haryono Soeparno, Reina Setiawan, Widodo Budiharto

“…Spelling errors in textual content may significantly hinder communication and comprehension, particularly in formal writing, such as news or reports. …”
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Near-Field Direct Writing Based on Piezoelectric Micromotion for the Programmable Manufacturing of Serpentine Structures by Xun Chen, Xuanzhi Zhang, Jianfeng Sun, Rongguang Zhang, Xuanyang Liang, Jiecai Long, Jingsong Yao, Xin Chen, Han Wang, Yu Zhang, Jiewu Leng, Renquan Lu

“…A predictive model for the geometrical extensibility of serpentine structures was derived from Legendre’s incomplete elliptic integral of the second kind and incorporated an error correction factor, which significantly reduced the calculation errors in predicting geometric elongation, by 95.85%. …”
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Students’ Perception of Automated Written Corrective Feedback Provided by Grammarly in Enhancing Writing Skills by Hanif Muti Aruna, Teguh Sarosa

“…This research used purposive sampling for the research participants and interactive model analysis to analyze the data. The findings reveal that students generally find Grammarly a valuable and accessible tool that enhances their writing by providing immediate corrections for grammatical errors. …”
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Exploring AI to automate EFL corrective written feedback in the first language by Rob Hirschel, Kayoko Horai

“…The classroom intervention on which this study is based had four main steps: a) individual or collective brainstorming and vocabulary search (5 minutes), b) subsequent free-writing activity in an online browser (10 minutes), c) reading the ChatGPT feedback in L1 Japanese (5 minutes), d) completing paper error logs to process feedback (5 minutes). …”
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