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Showing 1 to 15 of 33 results Save | Export
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Hannah Sawyer; Colin Bannard; Julian Pine – Developmental Science, 2024
There is substantial evidence that children's apparent omission of grammatical morphemes in utterances such as "She play tennis" and "Mummy eating" is in fact errors of commission in which contextually licensed unmarked forms encountered in the input are reproduced in a context-blind fashion. So how do children stop making such…
Descriptors: Verbs, Computational Linguistics, Preschool Children, Grammar
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Zachary W. Taylor; Brett McCartt; Tahagod Babekir – Texas Education Review, 2024
Across many language backgrounds, a consistent hurdle to accessing United States higher education is understanding the basic information necessary to apply for admission and financial aid and complete the many enrollment management processes necessary to begin one's college career (apply for housing, receive and submit vaccinations, register for…
Descriptors: Arabic, Native Speakers, Access to Education, Higher Education
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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
Lisa F. Gusewelle – ProQuest LLC, 2024
This study examines the impact of the College, Career, and Community Writers Program (C3WP) on upper-elementary students' first draft writing quality, addressing the challenges teachers face in providing timely and effective feedback on extensive student writing, particularly in spelling, grammar, mechanics, and cohesion. The hypothesis posits…
Descriptors: Writing Instruction, Spelling, Grammar, Connected Discourse
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Almahasees, Zakaryia; Meqdadi, Samah; Albudairi, Yousef – Journal of Language and Linguistic Studies, 2021
Machine Translation (MT) has the potential to provide instant translation in times of crisis. MT provides real solutions that can remove borders between people and COVID-19 information. The widespread of MT system makes it worthy of scrutinizing the capacity of the most prominent MT system, Google Translate, to deal with COVID-19 texts into…
Descriptors: Internet, Translation, COVID-19, Pandemics
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Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
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Chae-Eun Kim – Journal of Pan-Pacific Association of Applied Linguistics, 2022
This study explores how Korean-to-English machine translation (MT) systems (e.g., Google Translator, NAVER Papago) deal with Korean passive structures. Cross-linguistically, Korean and English passives show different ways to construct passive-voice sentences from active structure. English passives including with [to be + past participle] may have…
Descriptors: Korean, English (Second Language), Second Language Learning, Second Language Instruction
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Chun, Jihye; Kim, Mi Hyun – Asian-Pacific Journal of Second and Foreign Language Education, 2021
This study aims to demonstrate the need for learner-corpus-informed applications and proposes methods of application that promote the proper use of Korean topic and nominative markers. This study extracted 3004 pieces of error from the error-annotated corpus of the "Korean Learners' Corpus," the largest Korean learner corpus to date. A…
Descriptors: Computational Linguistics, Korean, Second Language Learning, Error Analysis (Language)
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Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
UK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
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Tran Ngoc Quynh Phuong; Bao Trang Thi Nguyen; Thi Linh Giang Hoang; Vu Quynh Nhu Nguyen; Le Hoang Phuong Ngo – Taiwan Journal of TESOL, 2024
This article examines the use of prompt-based lexical collocations in opinion essays by Vietnamese English as a foreign language (EFL) students. Fifty second-year English majors at a Vietnamese university wrote 100 opinion essays on two topics as progress tests. The AntConc programme (Anthony, 2020) was employed to identify the frequencies of use…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Phrase Structure
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Hani Hamad M. Albelihi; Arif Al-Ahdal – Asian-Pacific Journal of Second and Foreign Language Education, 2024
The current study explores error fossilization in the academic writing of Saudi English as a Foreign Language (EFL) undergraduate learners. A manual textual analysis approach, employing corpus content analysis on writing across diverse genres including argumentative, expository, narrative, and descriptive essays was conducted to discover the…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Error Patterns
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Tsai, Shu-Chiao – Computer Assisted Language Learning, 2022
This study investigates the effectiveness of using Google Translate as a translingual CALL tool in English as a Foreign Language (EFL) writing, keyed to the perceptions of both more highly proficient Chinese English major university students and less-proficient non-English majors. After watching a 5-minute passage from a movie, each cohort of…
Descriptors: Computer Assisted Instruction, Translation, Second Language Learning, Second Language Instruction
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Li, Lexi Xiaoduo – Cogent Education, 2022
This study aims to examine how Chinese learners develop in their use and misuse of English modal verbs from Grade 7 to 9. Specifically, it examines form-function connections and explores the factors behind learners' development. The main focus is on the modal verbs "can," "could," "will," "would,"…
Descriptors: Verbs, Second Language Learning, Second Language Instruction, Native Language
Ginting, Siti Aisah – Online Submission, 2019
This study was aimed at identifying the kinds and frequency of formal errors on Indonesian English as a Foreign Language (EFL) learners' descripting writing. Therefore, descriptive analysis research design was implemented to achieve the objective. The data were collected from the descriptive writing of university students in Indonesia (N = 40).…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Patterns
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