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Showing 1 to 15 of 49 results Save | Export
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Puspani, Ida Ayu Made; Indrawati, Ni Luh Ketut Mas – Journal of Language and Linguistic Studies, 2021
The articles reflect how reduplication matters in the process of transferring meaning from the source language into the closest equivalent meaning in the target language. Indonesian reduplications are varied in their types and meaning that cover reduplications of verbs, nouns and adjectives and each has its own function such to indicate plurality…
Descriptors: Translation, English (Second Language), Language Processing, Second Languages
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Baker Bani Khair; Abdullah K. Shehabat; Ali M. Alnawaiseh; Issam Mostafa Taamneh; Tariq Jameel Alsoud; Firas Abu Hardan – Eurasian Journal of Applied Linguistics, 2024
Despite the progress in information technology, artificial intelligence as well as all kinds of machine translation software, we found that to dynamically capture the essence and the spirit of the cultural item, one needs to resort to the human mind rather than to the machine that only decodes words away from their shades of meaning. The objective…
Descriptors: Translation, Semantics, Artificial Intelligence, Computational Linguistics
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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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Tom Morton – Teaching in Higher Education, 2024
This article examines theoretical and methodological issues raised when Legitimation Code Theory (LCT) is used to investigate knowledge-building practices in online and face-to-face teaching environments where English is the medium of instruction (EMI) in non-Anglophone higher education (HE) contexts. The article introduces two dimensions of LCT,…
Descriptors: English (Second Language), Second Language Learning, Semantics, Teaching Methods
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Li Nguyen; Oliver Mayeux; Zheng Yuan – International Journal of Multilingualism, 2024
Multilingualism presents both a challenge and an opportunity for Natural Language Processing, with code-switching representing a particularly interesting problem for computational models trained on monolingual datasets. In this paper, we explore how code-switched data affects the task of Machine Translation, a task which only recently has started…
Descriptors: Code Switching (Language), Vietnamese, English (Second Language), Second Language Learning
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Sudatip Prapunta – MEXTESOL Journal, 2025
This research study aims to explore students' perceptions and reflections on the effectiveness of project-based learning (PBL) in a Thai-English translation course in the EFL context. The participants of this study included forty-nine students who were enrolled in the Thai-English translation course. The participants were asked to produce a…
Descriptors: Student Projects, Second Language Learning, Second Language Instruction, English (Second Language)
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Wijitsopon, Raksangob – rEFLections, 2021
The present study investigates the Thai quantifier 'laay' ([Thai characters omitted]) and its two major English lexical equivalents: 'several' and 'many', using data from an English-Thai parallel corpus, the Thai and British National Corpora. An examination of the parallel corpus reveals that the quantifier 'laay' has a broad semantic property as…
Descriptors: Thai, Contrastive Linguistics, Computational Linguistics, English
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Yoo, Hak Soo; Kulkova, Raisa Alexandrovna; Lee, Andrea Rakushin – Journal of Pan-Pacific Association of Applied Linguistics, 2019
This corpus-based contrastive analysis examines the Russian classifying nouns, "tip" (type) and "vid" (kind) as well as the Korean classifying noun "yu-hyeong" and "jong-nyu." In the Russian language, the use of the words "tip" and "vid" depends on characteristics and the general contents…
Descriptors: Computational Linguistics, Contrastive Linguistics, Nouns, Russian
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Eun Seon Chung – Language Learning & Technology, 2024
While previous investigations on online machine translation (MT) in language learning have analyzed how second language (L2) learners use and post-edit MT output, no study as of yet has investigated how the learners process MT errors and what factors affect this process using response and reading times. The present study thus investigates L2…
Descriptors: English (Second Language), Korean, Language Processing, Translation
Al-Jarf, Reima – Online Submission, 2023
Son and daughter metaphorical expressions are common in general as well as technical languages. This study explores the similarities and differences between English and Arabic ibn (son) and bint (daughter) expressions, and the difficulties that student-translators have with them. A corpus of English and Arabic general ibn (son) and bint (daughter)…
Descriptors: Translation, Language Usage, Daughters, Sons
Al-Jarf, Reima – Online Submission, 2022
This study aims to: (i) describe the different meanings and contexts in which Arabic "dar" and "bayt" and English "house" and "home" expressions are used; (ii) compare "dar," "bayt," "house" and "home" expressions and give examples of expressions that are identical in…
Descriptors: Arabic, Translation, Cultural Differences, Contrastive Linguistics
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Fokin, Serhii – Advanced Education, 2019
The value of a dictionary is traditionally considered to be proportional to its physical volume, measured in the number of entries. However, the amount of useful data varies depending on existing hypertextual links across a dictionary. Therefore, its utility might also be calculated as proportional to the number of useful links among its…
Descriptors: Dictionaries, Hypermedia, Brain Hemisphere Functions, Lexicography
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Akbari, Alireza – Journal of Further and Higher Education, 2021
Much progress has been made in the areas of diminishing, avoiding, and resisting plagiarism, due to the recent development of plagiarism tools. Many scholars/authors across the globe have been struggling with plagiarism, giving a number of lectures and writing articles pinpointing strategies that take into account on-line plagiarism services such…
Descriptors: Translation, Plagiarism, Integrity, Prevention
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Winiharti, Menik; Syihabuddin; Sudana, Dadang – Journal of Language and Linguistic Studies, 2021
The work of translation seems to be much easier with the assistance of web-based Machine Translation such as Google Translate. Does it work well? This study aims at finding how Google translates academic texts from Indonesian into English. It is also to find the extent to which Google Translate accurately and naturally transfers such texts. The…
Descriptors: Translation, Computer Software, Computational Linguistics, Majors (Students)
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Wongseree, Thandao – rEFLections, 2021
The present research investigates how translators deal with the challenges of translating culture-specific words from Thai into English within a digital environment. Using strategies suggested by Baker (2018), the study collected data from surveys, written sources and observations to examine which approaches are used by translators. It also…
Descriptors: Translation, Thai, Language Processing, Barriers
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