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Showing 1 to 15 of 43 results Save | Export
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Lee, Sinae; Park, Hae In – English Teaching, 2023
While metadiscourse use has been well-attended in second language (L2) writing research, relatively less effort has been made in documenting changing patterns of metadiscourse use among L2 writers. The present study addressed this gap by probing a diachronic change of interactive metadiscourse in research articles published in "English…
Descriptors: Second Language Learning, Second Language Instruction, Writing Research, Language Patterns
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Choi, Heekyung – Journal of Language and Linguistic Studies, 2021
This study examines how English has penetrated the Korean language by analyzing Anglicisms in weekly news magazine articles, with special reference to translation as a mode of language contact. For this purpose, it conducts a diachronic quantitative analysis of the occurrence of Anglicisms by compiling and utilizing corpora consisting of…
Descriptors: Diachronic Linguistics, Computational Linguistics, Sociolinguistics, Korean
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Sung, Min-Chang; Kim, Kitaek – English Teaching, 2020
Spontaneous motion is one of the most basic event types, but different languages use varying patterns to express it. For example, English usually encodes path information in prepositional phrases or adverbial particles, while Korean maps path information onto verbs (Talmy, 1985). This study predicts that this typological difference would affect…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Korean
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Sung, Min-Chang; Kim, Hyunwoo – Second Language Research, 2022
How strongly a verb is associated with a construction plays a crucial role in the learning of argument structure constructions. We examined the effect of verb-construction association strength on second language (L2) constructional generalization by analysing L2 learners' production and comprehension of two complex constructions (i.e. ditransitive…
Descriptors: Language Processing, Verbs, Generalization, Task Analysis
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Asma Almusharraf; Daniel Bailey – Computer Assisted Language Learning, 2025
Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions,…
Descriptors: Web Sites, Student Attitudes, Language Proficiency, Second Language Learning
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Wang Zhou; YeaJin Kim – Education and Information Technologies, 2024
The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…
Descriptors: Music Education, Computer Software, Undergraduate Students, Foreign Countries
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Sangmin-Michelle Lee; Nayeon Kang – Language Learning & Technology, 2024
With recent improvements in machine translation (MT) accuracy, MT has gained unprecedented popularity in second language (L2) learning. Despite the significant number of studies on MT use, the effects of using MT on students' retention of learning or secondary school students' use of MT in L2 writing has rarely been researched. The current study…
Descriptors: Second Language Instruction, Writing (Composition), Middle School Students, Foreign Countries
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Powell, Natasha; Baldwin, Jeffrey; Manning, Jennifer – International Journal of Technology in Education and Science, 2022
As technology advances, and more students have constant access to cell phones, laptops and tablets inside the classroom, the use of machine translation (MT) by language learners will continue to rise. Therefore, in order for instructors to better design courses they should strive to understand how students are using machine translation, as well as…
Descriptors: STEM Education, Graduate Students, Foreign Countries, Computational Linguistics
Chung, Hyunsun – ProQuest LLC, 2019
This dissertation explores four Korean discourse markers derived from question words: "mwe" (what), "way" (why), "ettehkey" (how), and "mwusun" (which; what kind of). Most Korean question words have an additional function as indefinite words that refer to a nonspecific referent (Kim, 2000; Yang, 2005). In…
Descriptors: Korean, Discourse Modes, Language Research, Language Usage
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Yoo, Jiseung; Kim, Min Kyeong – Contemporary Educational Technology, 2023
This study focuses on how teachers' pedagogical content knowledge (PCK) of mathematics may differ depending on teacher interactions in an online teacher community of practice (CoP). The study utilizes data from 26,857 posts collected from the South Korean self-generated online teacher CoP, 'Indischool'. This data was then analyzed using natural…
Descriptors: Natural Language Processing, Elementary School Teachers, Pedagogical Content Knowledge, Mathematics Instruction
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Hong, Ji-yoon – English Teaching, 2019
This corpus-driven longitudinal study investigates the structural use of lexical bundles in published research article (RA) introductions in applied linguistics written by English experts and Korean graduate students across two different levels of study. Frequency-based bundles were retrieved from a corpus of 200 published RA introductions and two…
Descriptors: Academic Language, Longitudinal Studies, Computational Linguistics, Phrase Structure
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Dennis Murphy Odo – Language Learning & Technology, 2025
There is currently limited investigation of readers' comprehension of AI simplified text from the perspective of educators, but such research can help to more effectively address the specific needs and perspectives of language teachers and learners regarding the comprehensibility of AI simplified text. Therefore, the purpose of this study was to…
Descriptors: Reading Comprehension, Artificial Intelligence, Computer Software, Technology Integration
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McDonald, Margarethe; Kwon, Taeahn; Kim, Hyunji; Lee, Youngki; Ko, Eon-Suk – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The algorithm of the Language ENvironment Analysis (LENA) system for calculating language environment measures was trained on American English; thus, its validity with other languages cannot be assumed. This article evaluates the accuracy of the LENA system applied to Korean. Method: We sampled sixty 5-min recording clips involving 38 key…
Descriptors: Computational Linguistics, Korean, Audio Equipment, Accuracy
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Almusharraf, Asma; Bailey, Daniel – Journal of Computer Assisted Learning, 2023
Background: Language learners are taking advantage of the increased accuracy afforded by machine translation (MT) tools like Google Translate. There is a growing debate as to whether these tools support or hinder English as a foreign language (EFL) education. Some EFL students are drawn to MT tools to save time and energy when communicating, but…
Descriptors: Translation, Computational Linguistics, Language Acquisition, Second Language Learning
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Park, Shinjae – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2022
Despite writing and speaking being related activities, their end-products are entirely different. However, previous studies have not shown consistency in terms of grammar use in these two modes. Accordingly, in the present study, I aim to define the syntactic characteristics in these two modes with large-scale data and organized research designs.…
Descriptors: Computational Linguistics, Grammar, Undergraduate Students, English (Second Language)
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