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Showing 1 to 15 of 28 results Save | Export
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Hana Asaad Daana; Maisa Sadi Jaber; Sereen Jubran – Eurasian Journal of Applied Linguistics, 2023
This study aims to explore and tackle different phenomena of syllable structure and syllabification patterns in Jordanian Arabic (JA). The study compares and contrasts the permissible syllable structures in different Jordanian dialects. It also presents a comprehensive analysis of how speakers of different Jordanian dialects tackle the consonantal…
Descriptors: Phonology, Arabic, Language Variation, Foreign Countries
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Maria Goldshtein; Jaclyn Ocumpaugh; Andrew Potter; Rod D. Roscoe – Grantee Submission, 2024
As language technologies have become more sophisticated and prevalent, there have been increasing concerns about bias in natural language processing (NLP). Such work often focuses on the effects of bias instead of sources. In contrast, this paper discusses how normative language assumptions and ideologies influence a range of automated language…
Descriptors: Language Attitudes, Computational Linguistics, Computer Software, Natural Language Processing
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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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Ali Karakas – RELC Journal: A Journal of Language Teaching and Research, 2024
This paper evaluates Voki, a digital platform for creating speaking avatars, in the context of Global Englishes Language Teaching (GELT). It firstly outlines the benefits of using animated characters in online tools to personalize language lessons and engage students. As a web-based application, Voki offers various customization options, including…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Variation
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Toyese Najeem Dahunsi; Thompson Olusegun Ewata – Language Teaching Research, 2025
Multi-word expressions are formulaic language universals with arbitrary and idiosyncratic collocations. Their usage and mastery are required of learners of a second language in achieving naturalness. However, despite the importance of multi-word expressions to mastering a second language, their syntactic architecture and colligational…
Descriptors: Computational Linguistics, Discourse Analysis, English (Second Language), Second Language Learning
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Kristof Savski – LEARN Journal: Language Education and Acquisition Research Network, 2024
Reflecting on recent social transformations and technological innovations, this article argues that a holistic change is needed in the scope and identity of English language teaching. I argue that we must embrace a move away from teaching "just English", that is, concentrating on instruction that targets language in isolation from other…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Artificial Intelligence
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Fragkiadakis, Manolis – Sign Language Studies, 2022
Signs in sign languages have been mainly analyzed as composed of three formational elements: hand configuration, location, and movement. Researchers compare and contrast lexical differences and similarities among different signs and languages based on these formal elements. Such measurement requires extensive manual annotation of each feature…
Descriptors: American Sign Language, Sign Language, Contrastive Linguistics, Foreign Countries
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Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
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Overton, Courtney; Baron, Taylor; Pearson, Barbara Zurer; Ratner, Nan Bernstein – Language, Speech, and Hearing Services in Schools, 2021
Purpose: Spoken language sample analysis (LSA) is widely considered to be a critical component of assessment for child language disorders. It is our best window into a preschool child's everyday expressive communicative skills. However, historically, the process can be cumbersome, and reference values against which LSA findings can be…
Descriptors: Child Language, Black Dialects, Preschool Children, Oral Language
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Yujiao Zhang – SAGE Open, 2023
Multidimensional (MD) analysis contributes to a comprehensive linguistic description of second language (L2) writing texts. However, cross-linguistic studies based on MD analysis are still insufficient and need to be increased. In particular, the unavailability of comparable corpora prevents current MD-based L2 writing research from making…
Descriptors: Language Usage, Persuasive Discourse, Essays, English (Second Language)
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Dixon, Daniel H. – CALICO Journal, 2022
This study quantitatively measures the variation in language derived from a targeted set of digital game mechanics. Mechanics refer to the design elements of a game that make up the overall gameplay experience, determining player actions and the degree of language interaction. A corpus was compiled by extracting the language files from two popular…
Descriptors: Language Usage, Computer Games, Second Language Learning, Second Language Instruction
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Christopher E. Gomez; Marcelo O. Sztainberg; Rachel E. Trana – International Journal of Bullying Prevention, 2022
Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or emotional distress. This serious form of aggression is frequently targeted at, but not limited to, vulnerable populations. A common problem when creating machine learning models to identify cyberbullying is the availability of accurately annotated,…
Descriptors: Video Technology, Computer Software, Computer Mediated Communication, Bullying
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Paterson, Kate – TESOL Journal, 2023
Multiple studies have shown that language learners and other students undertaking postsecondary studies in an additional language (L2) consult digital translation tools to complete course-related work despite general disapproval of their use by instructors. Significant improvements in the accuracy of machine translation (MT) along with their…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
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Jiraporn Dhanarattigannon; Tirote Thongnuan; Pong-ampai Kongcharoen – LEARN Journal: Language Education and Acquisition Research Network, 2025
This true longitudinal study explored the lexical development of L2 university English major students in Thailand using two learner corpora. This study analyzed the natural learners' English language writing assignments from two writing courses and tracked their lexical development over a relatively long period (three years with five batches of…
Descriptors: Majors (Students), English (Second Language), Second Language Learning, Second Language Instruction
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Jaeho Jeon; Seongyong Lee; Serafín M. Coronel-Molina – ELT Journal, 2024
Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
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