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Chen, Lang; Hu, Guangwei – Discourse Processes: A Multidisciplinary Journal, 2020
Taking a cognitive approach to genre-specific language, this corpus-based study investigated the disciplinary and paradigmatic effect on the use of a specific type of attitude markers--surprise markers--with an analytical framework informed by frame semantics. A Surprise frame was generated and then used to analyze the use of surprise markers in a…
Descriptors: Research Reports, Computational Linguistics, Guidelines, Discourse Analysis
Holtgraves, Thomas; Jenkins, Elizabeth – Discourse Processes: A Multidisciplinary Journal, 2020
Two experiments were conducted to examine the production and detection of common, everyday deception. Experiment 1 was a naturalistic study in which participants provided their most recent truthful and deceptive (both sent and received) text messages. Participants in Experiment 2 were asked to generate text messages that were either deceptive or…
Descriptors: Deception, Synchronous Communication, Ethics, Comparative Analysis
Vogel, Anna – Current Issues in Language Planning, 2020
Corpus planning has attracted attention ever since Deborah Cameron's seminal "Verbal Hygiene" (1995). However, evaluations of corpus planning aimed at addressing linguistic discrimination have been surprisingly scarce. Because corpus planning costs energy, time and money, evaluations are important for future actions. This study discusses…
Descriptors: Computational Linguistics, Swedish, Language Planning, Language Attitudes
Sezgin, Hatice; Öztürk, Mustafa Serkan – Journal of Language and Linguistic Studies, 2020
The purpose of the present study is to find out the extent to which the real spoken language is reflected in TV series in terms of vocabulary. In accordance with this purpose, a corpus, named as the British TV Series Corpus (BTSC) was compiled for the present study using two British TV series, Sherlock and Doctor Who, and this corpus was compared…
Descriptors: Television, Programming (Broadcast), Vocabulary Development, Word Frequency
Finestack, Lizbeth H.; Rohwer, Bobbi; Hilliard, Lisa; Abbeduto, Leonard – Language, Speech, and Hearing Services in Schools, 2020
Purpose: Conducting in-depth grammatical analyses based on language samples can be time consuming. Developmental Sentence Scoring (DSS) and the Index of Productive Syntax (IPSyn) analyses provide detailed information regarding the grammatical profiles of children and can be conducted using free computer-based software. Here, we provide a tutorial…
Descriptors: Grammar, Down Syndrome, Computational Linguistics, Scoring
Ming Chen; Yongbing Liu – Asia Pacific Journal of Education, 2025
This corpus-based study investigates lexical richness in English writing by Chinese senior high school students. Lexical uses in 303 compositions were compared across three grades in terms of lexical sophistication, variation, density and errors. Timed compositions were sampled from Writing Corpus of English Learners, and the sample sizes of three…
Descriptors: Writing Instruction, High School Students, Connected Discourse, Foreign Countries
Jing Chen; Yi Jiang – SAGE Open, 2025
Anticipatory "it" pattern, which encodes interpersonal stance, plays a crucial role in academic writing. While previous studies have been explored the overuse and the underuse of this pattern among English as a Foreign Language (EFL) learners and published writers, there has been limited exploration of how EFL learners use the…
Descriptors: Foreign Countries, Masters Programs, Graduate Students, English (Second Language)
Qing Guo; Junwen Zhen; Fenglin Wu; Yanting He; Cuilan Qiao – Journal of Educational Computing Research, 2025
The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…
Descriptors: STEM Education, Computational Linguistics, Teaching Methods, Educational Change

Zirong Chen; Elizabeth Chason; Noah Mladenovski; Erin Wilson; Kristin Mullen; Stephen Martini; Meiyi Ma – Grantee Submission, 2025
Emergency response services are vital for enhancing public safety by safeguarding the environment, property, and human lives. As frontline members of these services, 9-1-1 dispatchers have a direct impact on response times and the overall effectiveness of emergency operations. However, traditional dispatcher training methods, which rely on…
Descriptors: Computational Linguistics, Cues, Emergency Programs, Safety
Ahmet Can Uyar; Dilek Büyükahiska – International Journal of Assessment Tools in Education, 2025
This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
Malika Beisenova; Gulzira Kenzhetaeva; Gulshat Beysembaeva; Gulzhan Altynbekova; Fatima Yerekhanova; Assel Akhmetbekova; Aitmukhamet Trushev – Eurasian Journal of Applied Linguistics, 2025
Anglicisms play a pivotal role in shaping media discourse in Kazakhstan, potentially influencing both the style and content of media texts. The communicative and pragmatic features of anglicisms in Kazakhstani news feeds, in addition, are deeply impacted by globalization. This research aims to analyze how anglicisms influence the perception and…
Descriptors: Turkic Languages, Linguistic Borrowing, Mass Media, Language Styles
Pong-ampai Kongcharoen; Jiraporn Dhanarattigannon; Intira Bumrungsalee – rEFLections, 2025
In recent years, there has been a growing trend of using informal styles in academic writing, including research articles. To examine the degree of formality in students' writing, this corpus-based study aimed to analyze the formal linguistic features in the academic writing assignments of English-major students at a Thai university. The learner…
Descriptors: Academic Language, Essays, Majors (Students), English (Second Language)
Brahim Ait Hammou; Abderrazak Zaafour; Bendaoud Nadif; Mohammed Zemrani – Language Teaching Research Quarterly, 2025
Research on the relationship between vocabulary knowledge and reading has largely focused on literal comprehension of informational texts. The present study, however, investigates the vocabulary-reading relationship by specifically examining critical reading skills in an argumentative text.76 EFL university students majoring in Education and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
Chopra, Harshita; Lin, Yiwen; Samadi, Mohammad Amin; Cavazos, Jacqueline G.; Yu, Renzhe; Jaquay, Spencer; Nixon, Nia – International Educational Data Mining Society, 2023
Exploring students' discourse in academic settings over time can provide valuable insight into the evolution of learner engagement and participation in online learning. In this study, we propose an analytical framework to capture topics and the temporal progression of learner discourse. We employed a Contextualized Topic Modeling technique on…
Descriptors: Semantics, Computer Mediated Communication, Pandemics, COVID-19