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Showing 1 to 15 of 34 results Save | Export
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Fawzi Eltayeb Yousuf Ahmed; Nawal Mosa Mohammed Abdallah; Sarah Osman Eltom Hamed; Fatima Mohamed Ali Hamed – Eurasian Journal of Applied Linguistics, 2025
The current study attempts to explore and analyze errors of word choice made in written language by Saudi undergraduates at King Khalid University. It additionally tries to determine the probable sources of errors and provide remedies to them. The study focuses on word choice errors in four areas, viz., literal translation, collocation, subject…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Undergraduate Students
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Marice – Eurasian Journal of Applied Linguistics, 2022
This study examined a few narrative texts accessed online from kompas.com and translated from Indonesian into French with the help of "Bing Translator," which is a multilingual machine translation cloud service of Microsoft Corporation. This study used a qualitative approach to analyze the translated texts, with the view to identify the…
Descriptors: Indonesian, French, Translation, Grammar
Quynh Nhu Pham; Vu Phi Ho Pham – Online Submission, 2024
This study aimed to analyze common syntactic errors found in the argumentative essays of third-year English major students at the Faculty of Foreign Languages, Van Lang University, Vietnam. Quantitative and qualitative methods were used to obtain data in this study. The quantitative approach involved counting and calculating the frequency,…
Descriptors: Syntax, Error Patterns, Persuasive Discourse, Essays
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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
Wallwork, Adrian – Springer, 2023
This guide draws on English-related errors from around 6000 papers written by non-native authors, 500 abstracts written by PhD students, and over 2000 hours of teaching researchers how to write and present research papers. This new edition has chapters on exploiting AI tools such as ChatGPT, Google Translate, and Reverso, for generating,…
Descriptors: English for Academic Purposes, Research, Grammar, Language Usage
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Wagdi Rashad Ali Bin-Hady; Arif Ahmed Mohammed Hassan Al-Ahdal; Samia Khalifa Abdullah – Journal of Applied Research in Higher Education, 2024
Purpose: English as a foreign langauge (EFL) students find it difficult to apply the theoretical knowledge they acquire on translation in the practical world. Therefore, this study explored if training in pretranslation techniques (PTTs) (syntactic parsing) as suggested by Almanna (2018) could improve the translation proficiency of Yemeni EFL…
Descriptors: Teaching Methods, English (Second Language), Second Language Learning, Second Language Instruction
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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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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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Mubarak, Faisal; Deviana, Ade Destri; Hasanah, Mamluatul; Qomariyah, Lailatul; Nasarudine; Hafiz, Abdul; Marsiah; Yahya, M. – Eurasian Journal of Applied Linguistics, 2022
Students' Arabic thesis writing comprises several grammatical errors of different types. This study aimed to find out: (1) errors in writing Arabic phrases on students of the Arabic Language Education Master's Program at universities of Indonesia, and (2) factors that caused these writing errors. This research sued a qualitative research design,…
Descriptors: Arabic, Phrase Structure, Grammar, Foreign Countries
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Yoon, Chae Won; Chon, Yuah V. – English Teaching, 2022
To investigate L2 adolescent learners' use of machine translation (MT), an MT error correction (EC) test was developed, based on the analysis of MT errors arising from translating the learners' L1 of middle school EFL textbooks. Learners were also asked to report on their use of MT EC strategies on the EC task. Results indicated that…
Descriptors: Translation, Error Analysis (Language), Error Patterns, Language Proficiency
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Demir, Cüneyt – Australian Journal of Applied Linguistics, 2020
Translation aims to transmit the original tone of the source text both syntactically and semantically accurate without losing the intent of a message. However, some syntactic considerations such as cases may pose a problem particularly if the source and target texts belong to different language typologies. Accordingly, this study investigated the…
Descriptors: Turkish, English (Second Language), Translation, Language Processing
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Yossatorn, Yossiri; Binali, Theerapong; Chokthawikit, Sirisira; Weng, Cathy – SAGE Open, 2022
The English past counterfactuality is difficult for non-native learners to learn and understand due to cross-language discrepancies. Oftentimes, individuals unavoidably develop the interlanguage and this language system becomes fossilized regardless of the amount of exposed time and input. The purpose of the study was twofold: (a) to examine 126…
Descriptors: Grammar, Translation, Teaching Methods, Interlanguage
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Trang, Nguyen Huynh; Anh, Khau Hoang; Khanh, Truong Nhat – International Journal of Higher Education, 2021
The current study attempted to investigate English collocations used in written translation among fourth-year English majors at a university. The participants included forty-one fourth-year English-majored students and three translation teachers who are teaching English-Vietnamese translation courses in the university. To gather data, the…
Descriptors: Translation, Word Order, English (Second Language), Second Language Instruction
Mohammad H. Adam – ProQuest LLC, 2024
Writing proper English sentences poses a significant challenge for Arabic-speaking postsecondary students studying English as a Foreign Language (EFL) due to substantial differences between Arabic and English syntactic structures. This basic qualitative study explored the perceptions of Arabic-speaking EFL learners at an Arabian university…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Arabic
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