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Kheovichai, Baramee – LEARN Journal: Language Education and Acquisition Research Network, 2022
This research investigated the discursive construction of COVID-19 in WHO director general's discourse through the lens of corpus linguistics and critical discourse analysis. 255 speeches of the WHO director general were collected, forming a 234,149-words corpus. Collocations of 'COVID-19' were generated and analyzed in terms of the semantic…
Descriptors: Phrase Structure, Discourse Analysis, COVID-19, Pandemics
Römer, Ute – Language Teaching, 2022
This plenary speech provides an overview of applications of corpus research in several core areas of applied linguistics, including second language acquisition and language assessment. It does this by showcasing a number of recent studies carried out by or with involvement of the author. These studies all focus on phraseological aspects of…
Descriptors: Applied Linguistics, Computational Linguistics, Second Language Learning, Language Tests
Day, Trevor K. M.; Elison, Jed T. – Journal of Child Language, 2022
A critical question in the study of language development is to understand lexical and syntactic acquisition, which play different roles in speech to the extent it would be natural to surmise they are acquired differently. As measured through the comprehension and production of closed-class words, syntactic ability emerges at roughly the 400-word…
Descriptors: Syntax, Vocabulary Development, Factor Analysis, Classification
Li, Yuheng; Rakovic, Mladen; Poh, Boon Xin; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2022
Learning objectives, especially those well defined by applying Bloom's taxonomy for Cognitive Objectives, have been widely recognized as important in various teaching and learning practices. However, many educators have difficulties developing learning objectives appropriate to the levels in Bloom's taxonomy, as they need to consider the…
Descriptors: Educational Objectives, Taxonomy, Universities, Cognitive Ability
Almotairi, Maram; Fkih, Fethi – Journal of Education and e-Learning Research, 2022
The Question answering (QA) system plays a basic role in the acquisition of information and the e-learning environment is considered to be the field that is most in need of the question-answering system to help learners ask questions in natural language and get answers in short periods of time. The main problem in this context is how to understand…
Descriptors: Semantics, Natural Language Processing, Intelligent Tutoring Systems, Ambiguity (Semantics)
Jia, Mian – Applied Linguistics, 2022
Applied linguists and Communication scholars have mainly adopted different yet complementary approaches to research on language and health communication. Using discourse-analytic (DA) approaches such as conversation analysis and corpus analysis, applied linguists tend to focus on describing and explicating health messaging techniques in naturally…
Descriptors: Applied Linguistics, Language Usage, Discourse Analysis, Computational Linguistics
Johnson, Jillian C.; Olney, Andrew M. – International Educational Data Mining Society, 2022
Typical data science instruction uses generic datasets like survival rates on the Titanic, which may not be motivating for students. Will introducing real-life data science problems fill this motivational deficit? To analyze this question, we contrasted learning with generic datasets and artificial problems (Phase 1) with a community-sourced…
Descriptors: Data, Data Analysis, Interdisciplinary Approach, Student Motivation
Semiu Salawu; Jo Lumsden; Yulan He – International Journal of Bullying Prevention, 2022
A negative consequence of the proliferation of social media is the increase in online abuse. Bullying, once restricted to the playground, has found a new home on social media. Online social networks on their part have intensified efforts to tackle online abuse, but unfortunately, such is the scale of the problem that many young people are still…
Descriptors: Computer Mediated Communication, Bullying, Computer Software, Computational Linguistics
Qihui Xu – ProQuest LLC, 2022
How early do children produce multiword utterances? Do children's early utterances reflect abstract syntactic knowledge or are they the result of data-driven learning? We examine this issue through corpus analysis, computational modeling, and adult simulation experiments. Chapter 1 investigates when children start producing multiword utterances;…
Descriptors: Language Acquisition, Speech Communication, Computational Linguistics, Syntax
Hoppe, Dorothée B.; Rij, Jacolien; Hendriks, Petra; Ramscar, Michael – Cognitive Science, 2020
Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…
Descriptors: Discrimination Learning, Computational Linguistics, Natural Language Processing, Artificial Languages
Mancuso, Azzurra; Elia, Annibale; Laudanna, Alessandro; Vietri, Simonetta – Journal of Psycholinguistic Research, 2020
Idioms have been traditionally described as fixed expressions, highly restricted in their realization. Corpus and experimental studies, however, have shown that they are more variable than previously thought. The issue of idiom syntax has received a renewed interest, since it also addresses the problem of how idioms are mentally stored. Another…
Descriptors: Figurative Language, Language Processing, Syntax, Priming
Schreiner, Sylvia L. R.; Schwartz, Lane; Hunt, Benjamin; Chen, Emily – Language Documentation & Conservation, 2020
St. Lawrence Island Yupik is an endangered language of the Bering Strait region. In this paper, we describe our work on Yupik jointly leveraging computational morphology and linguistic fieldwork, outlining the multilayer virtuous cycle that we continue to refine in our work to document and build tools for the language. After developing a…
Descriptors: Eskimo Aleut Languages, Computational Linguistics, Morphology (Languages), Documentation
Zur, Amir; Applebaum, Isaac; Nardo, Jocelyn Elizabeth; DeWeese, Dory; Sundrani, Sameer; Salehi, Shima – International Educational Data Mining Society, 2023
Detailed learning objectives foster an effective and equitable learning environment by clarifying what instructors expect students to learn, rather than requiring students to use prior knowledge to infer these expectations. When questions are labeled with relevant learning goals, students understand which skills are tested by those questions.…
Descriptors: Equal Education, Prior Learning, Educational Objectives, Chemistry
Ibrahim, Karim – Language Testing in Asia, 2023
The release of ChatGPT marked the beginning of a new era of AI-assisted plagiarism that disrupts traditional assessment practices in ESL composition. In the face of this challenge, educators are left with little guidance in controlling AI-assisted plagiarism, especially when conventional methods fail to detect AI-generated texts. One approach to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Casey, Kennedy; Potter, Christine E.; Lew-Williams, Casey; Wojcik, Erica H. – Developmental Psychology, 2023
Why do infants learn some words earlier than others? Many theories of early word learning focus on explaining how infants map labels onto concrete objects. However, words that are more abstract than object nouns, such as "uh-oh," "hi," "more," "up," and "all-gone," are typically among the first to…
Descriptors: Nouns, Infants, Language Acquisition, Vocabulary Development

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