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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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Rzepka, Nathalie; Müller, Hans-Georg; Simbeck, Katharina – International Educational Data Mining Society, 2021
The ability to spell correctly is a fundamental skill for participating in society and engaging in professional work. In the German language, the capitalization of nouns and proper names presents major difficulties for both native and nonnative learners, since the definition of what is a noun varies according to one's linguistic perspective. In…
Descriptors: Spelling, German, Punctuation, Nouns
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Christensen, Rikke Vang – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The aim of the study was to explore the potential of performance on a Danish sentence repetition (SR) task--including specific morphological and syntactic properties--to identify difficulties in children with developmental language disorder (DLD) relative to typically developing (TD) children. Furthermore, the potential of the task as a…
Descriptors: Indo European Languages, Morphology (Languages), Verbs, Grammar
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Phettongkam, Husna – LEARN Journal: Language Education and Acquisition Research Network, 2017
The study aims to explore the grammatical errors in spoken English of Thai University learners in a communicative business English course. The main objectives of the research study are to identify the types and frequency of grammatical errors. Collected data were analyzed according to the surface structure taxonomy to present a general overview.…
Descriptors: Grammar, Error Analysis (Language), Business English, English (Second Language)
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Blanchard, Daniel; Tetreault, Joel; Higgins, Derrick; Cahill, Aoife; Chodorow, Martin – ETS Research Report Series, 2013
This report presents work on the development of a new corpus of non-native English writing. It will be useful for the task of native language identification, as well as grammatical error detection and correction, and automatic essay scoring. In this report, the corpus is described in detail.
Descriptors: Language Tests, Second Language Learning, English (Second Language), Writing Tests