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Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
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Ibrahim, Mohammed Ali Elsiddig – Arab World English Journal, 2022
This research aims to address the syntactic problems that Saudi students confront when translating. The significance of the study is to detect syntactic issues among Saudi Arabian undergraduate students. The question is addressed in the study: what are the syntactic problems that Saudi students confront when translating? The researcher used a…
Descriptors: Syntax, Translation, Foreign Countries, English (Second Language)
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Svike, Silga – AILA Review, 2021
This contribution researches various translation dictionaries -- mobile apps with Latvian that are available for free on the Google Play Store and sets out the experience of developing specialised translation dictionaries at Ventspils University of Applied Sciences (VUAS). The results encounter three different dictionary models that are compiled…
Descriptors: Lexicography, Second Language Learning, Second Language Instruction, Computer Software
Dolbey, Andrew Eric – ProQuest LLC, 2009
In this study I introduce BioFrameNet, an extension of the Berkeley FrameNet lexical database to the domain of molecular biology. I examine the syntactic and semantic combinatorial possibilities exhibited in the lexical items used in this domain in order to get a better understanding of the grammatical properties of the language used in scientific…
Descriptors: Semantics, Nouns, Grammar, Molecular Biology