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Showing 1 to 15 of 98 results Save | Export
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Chaengchenkit, Rangsiya – LEARN Journal: Language Education and Acquisition Research Network, 2023
This study aims to investigate the distribution across genres and the collocation of three synonymous verbs "cease," "halt," and "stop." Data were drawn from the Corpus of Contemporary American English (COCA). The results from the distribution across genres shed light on the degree of formality of each verb. The verb…
Descriptors: Comparative Analysis, Language Usage, Phrase Structure, Verbs
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Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
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Yuchen Wang; Juxiang Zhou; Zijie Li; Shu Zhang; Xiaoyu Han – IEEE Transactions on Learning Technologies, 2024
Graded reading is one of the important ways of English learning. How to automatically judge and grade the difficulty of the English reading corpus is of great significance for precision teaching and personalized learning. However, the current rule-based readability assessment methods have some limitations, such as low efficiency and poor accuracy.…
Descriptors: Computational Linguistics, Reading Materials, Readability, Semantics
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Toyese Najeem Dahunsi; Thompson Olusegun Ewata – Language Teaching Research, 2025
Multi-word expressions are formulaic language universals with arbitrary and idiosyncratic collocations. Their usage and mastery are required of learners of a second language in achieving naturalness. However, despite the importance of multi-word expressions to mastering a second language, their syntactic architecture and colligational…
Descriptors: Computational Linguistics, Discourse Analysis, English (Second Language), Second Language Learning
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Roberts, Jenny A.; Altenberg, Evelyn P.; Hunter, Madison – Language, Speech, and Hearing Services in Schools, 2020
Purpose: The results of automatic machine scoring of the Index of Productive Syntax from the Computerized Language ANalysis (CLAN) tools of the Child Language Data Exchange System of TalkBank (MacWhinney, 2000) were compared to manual scoring to determine the accuracy of the machine-scored method. Method: Twenty transcripts of 10 children from…
Descriptors: Syntax, Scoring, Computational Linguistics, Child Language
Christopher Nicklin – ProQuest LLC, 2024
Since corpus linguistics gained popularity as a methodology in the latter half of the 20th century, second language acquisition research has seen the emergence of work investigating formulaic language, such as idioms, lexical bundles, and collocations. A collocation is a string of words that co-occur more routinely than probability would predict,…
Descriptors: Computational Linguistics, Phrase Structure, Language Processing, Native Language
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Doewes, Afrizal; Saxena, Akrati; Pei, Yulong; Pechenizkiy, Mykola – International Educational Data Mining Society, 2022
In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…
Descriptors: Scoring, Essays, Writing Evaluation, Comparative Analysis
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Zeng, Xiaofang – Journal of Education, 2023
This study compared syntactic complexity between undergraduate students' research papers and published research papers. A 2 (Groups: experts, students) × 4 (Sections: introduction, methods, results, discussions) mixed factorial analysis of variance (ANOVA) was conducted on each of the following variables: T-unit length, clause density, the…
Descriptors: Syntax, Writing for Publication, Research Papers (Students), Undergraduate Students
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Shang Jiang; Anna Siyanova-Chanturia – First Language, 2024
Recent studies have accumulated to suggest that children, akin to adults, exhibit a processing advantage for formulaic language (e.g. "save energy") over novel language (e.g. "sell energy"), as well as sensitivity to phrase frequencies. The majority of these studies are based on formulaic sequences in their canonical form. In…
Descriptors: Phrase Structure, Language Processing, Language Acquisition, Child Language
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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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Park, Shinjae – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2022
Despite writing and speaking being related activities, their end-products are entirely different. However, previous studies have not shown consistency in terms of grammar use in these two modes. Accordingly, in the present study, I aim to define the syntactic characteristics in these two modes with large-scale data and organized research designs.…
Descriptors: Computational Linguistics, Grammar, Undergraduate Students, English (Second Language)
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Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
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Mohamad Javad Baghiat Esfahani; Saeed Ketabi – Journal of Applied Research in Higher Education, 2024
Purpose: This study attempts to evaluate the effect of the corpus-based inductive teaching approach with multiple academic corpora (PICA, CAEC and Oxford Corpus of Academic English) and conventional deductive teaching approach (i.e., multiple-choice items, filling the gap, matching and underlining) on learning academic collocations by Iranian…
Descriptors: Computational Linguistics, Teaching Methods, Advanced Students, English (Second Language)
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Lee, Younghee Cheri; Jwa, Soomin – English Teaching, 2023
In recent years, an array of studies has focused on 'translationese' (i.e., unique features that manifest in translated texts, causing second language (L2) writings to be similar to translated texts but different from native language (L1) writings). This intriguing linguistic pattern has motivated scholars to investigate potential markers for…
Descriptors: Translation, Second Language Learning, Journal Articles, Documentation
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Chan, Hang – Pedagogies: An International Journal, 2021
The current study considers the notion that English textbooks produced for different markets are likely to manifest different pedagogical emphases. The study begins the research context by contemplating possible similarities and differences between English textbooks produced in two neighbouring markets, Hong Kong (HK) and the People's Republic of…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Phrase Structure
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