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Metwally, Amal Abdelsattar; Elgemei, Dalal Mahmoud – Indonesian Journal of English Language Teaching and Applied Linguistics, 2022
The present study is a corpus-based grammatical investigation for the computational identification of metaphors. The aim of the study is to set a grammatical criterion for the computational identification of metaphors in the Holy Qur'an and propose a computer software input rule for the grammatical identification of metaphorical candidates. The…
Descriptors: Grammar, Computational Linguistics, Islam, Religious Factors
Renu Balyan; Danielle S. McNamara; Scott A. Crossley; William Brown; Andrew J. Karter; Dean Schillinger – Grantee Submission, 2022
Online patient portals that facilitate communication between patient and provider can improve patients' medication adherence and health outcomes. The effectiveness of such web-based communication measures can be influenced by the health literacy (HL) of a patient. In the context of diabetes, low HL is associated with severe hypoglycemia and high…
Descriptors: Computational Linguistics, Patients, Physicians, Information Security
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Oktavianti, Ikmi Nur; Adnan, Asmad – English Language Teaching Educational Journal, 2020
As one of the text categories, opinion texts have distinctive characteristics compared to any other texts in newspapers, including the choice of verb usage. This study then aims at preliminarily examining the verbs used in opinion articles in "The Jakarta Post" to find out the relation between frequency and text characteristics. This…
Descriptors: Verbs, Newspapers, Foreign Countries, Reports
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Sharaff, Aakanksha; Nagwani, Naresh Kumar – International Journal of Web-Based Learning and Teaching Technologies, 2020
A multi-label variant of email classification named ML-EC[superscript 2] (multi-label email classification using clustering) has been proposed in this work. ML-EC[superscript 2] is a hybrid algorithm based on text clustering, text classification, frequent-term calculation (based on latent dirichlet allocation), and taxonomic term-mapping…
Descriptors: Electronic Mail, Classification, Taxonomy, Indexes
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Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2023
With a significant number of students using machine translation (MT) for academic purposes in recent years, language teachers can no longer ignore it in their classrooms. Although an increasing number of studies have reported its pedagogical benefits, studies have also revealed that language teachers are still sceptical about using MT for various…
Descriptors: Instructional Effectiveness, Teaching Methods, Translation, Second Language Learning
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Trott, Sean; Jones, Cameron; Chang, Tyler; Michaelov, James; Bergen, Benjamin – Cognitive Science, 2023
Humans can attribute beliefs to others. However, it is unknown to what extent this ability results from an innate biological endowment or from experience accrued through child development, particularly exposure to language describing others' mental states. We test the viability of the language exposure hypothesis by assessing whether models…
Descriptors: Models, Language Processing, Beliefs, Child Development
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Xu, Runze; Wijitsopon, Raksangob – LEARN Journal: Language Education and Acquisition Research Network, 2023
Hollywood blockbuster films have long attracted not only mass audiences but also scholarly attention. In line with contemporary applied linguistics interests in telecinematic discourse, the present study draws upon concepts and techniques in corpus linguistics to describe the language of American mainstream film scripts. The concept of lexical…
Descriptors: Films, Applied Linguistics, Scripts, Phrase Structure
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Aronin, Larissa; Moccozet, Laurent – International Journal of Multilingualism, 2023
In today's globalised world, a single named language such as English, Norwegian or Spanish, no matter how 'big' it is, rarely satisfies all the needs of communication, cooperation, education or any other area of human life. Neither is the entire language repertoire plausible for everyday use, simply because it is impossible to use too many…
Descriptors: Language Role, Holistic Approach, Language Research, Multilingualism
Bogdan Nicula; Mihai Dascalu; Tracy Arner; Renu Balyan; Danielle S. McNamara – Grantee Submission, 2023
Text comprehension is an essential skill in today's information-rich world, and self-explanation practice helps students improve their understanding of complex texts. This study was centered on leveraging open-source Large Language Models (LLMs), specifically FLAN-T5, to automatically assess the comprehension strategies employed by readers while…
Descriptors: Reading Comprehension, Language Processing, Models, STEM Education
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Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
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Owen Henkel; Hannah Horne-Robinson; Maria Dyshel; Greg Thompson; Ralph Abboud; Nabil Al Nahin Ch; Baptiste Moreau-Pernet; Kirk Vanacore – Journal of Learning Analytics, 2025
This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…
Descriptors: Learning Analytics, Learning Management Systems, Mathematics Instruction, Middle School Students
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Wimonsinee Yuanjai; Chanika Gampper – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study aims to evaluate the extent to which Taylor Swift's song lyrics incorporate vocabulary from the Oxford 3000 and 5000 word lists and to categorize these words based on CEFR levels. The goal is to narrow down the vast selection of songs available to EFL learners, focusing on the most essential vocabulary to enhance their learning…
Descriptors: Singing, Music, Musicians, English (Second Language)
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Zhiliang Yue; Sugunya Ruangjaroon – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study aims to provide a comprehensive profile of collocational competence, a key component of one's overall linguistic competence. For the maximum of ecological validity, we elicited naturalistic oral/written production data from 84 Chinese intermediate EFL learners and performed a 2×2 fashion of analysis on their performance in each of the…
Descriptors: Phrase Structure, English (Second Language), Second Language Learning, Second Language Instruction
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Raksangob Wijitsopon – rEFLections, 2025
In the age when environmental sustainability is among the chief concerns and goals of communities around the world, a number of linguistic studies have been conducted to illuminate the roles of language in protection and destruction of ecological systems. Most of the studies, however, focus on written and/or formal discourses. The present study…
Descriptors: Sustainability, Language Variation, Computational Linguistics, Conservation (Environment)
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Boyd H. Davis; Meredith Troutman-Jordan; Margaret Maclagan – International Journal of Language & Communication Disorders, 2024
Background: This study reports on new contexts in which formulaic language has been used in the years since 2013 when the last synthesis was carried out. The background presents an old but still useful definition and lists themes under which research was arranged in 2013 and which continue to be used. Aims: This study has a particular emphasis on…
Descriptors: Phrase Structure, Language Variation, Computational Linguistics, Pragmatics
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