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Morrison, Ryan – Online Submission, 2022
Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…
Descriptors: Models, Mathematics, Automation, Natural Language Processing
Dweik, Bader S.; Shakra, Mariam M. Abu – Online Submission, 2010
The present study investigated the strategies adopted by students in translating specific lexical and semantic collocations in three religious texts namely, the Holy Quran, the Hadith and the Bible. For this purpose, the researchers selected a purposive sample of 35 MA translation students enrolled in three different public and private Jordanian…
Descriptors: Semitic Languages, Biblical Literature, Sentences, Semantics
Al-Jarf, Reima – Online Submission, 2007
The author is presenting a program that she designed for teaching liaison interpreting to translation students in their fifth semester of the translation program at the College of Languages and Translation (COLT), who are starting their training in liaison interpreting. The students never had any interpreting or translation training before. The…
Descriptors: Translation, Teaching Methods, Second Language Learning, Second Language Instruction
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Sham, Diana Po Lan – Online Submission, 2002
The research was conducted in Sydney and Hong Kong using students, from grades 5 to 9, whose first language or teaching medium was English, learning to read Chinese as second language. According to cognitive load theory, the processing of single Chinese characters accompanied by pictures should impose extraneous cognitive load and thus hinders…
Descriptors: Foreign Countries, English, Native Language, Chinese