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Lions, Séverin; Dartnell, Pablo; Toledo, Gabriela; Godoy, María Inés; Córdova, Nora; Jiménez, Daniela; Lemarié, Julie – Educational and Psychological Measurement, 2023
Even though the impact of the position of response options on answers to multiple-choice items has been investigated for decades, it remains debated. Research on this topic is inconclusive, perhaps because too few studies have obtained experimental data from large-sized samples in a real-world context and have manipulated the position of both…
Descriptors: Multiple Choice Tests, Test Items, Item Analysis, Responses
Liu, Jiehan; Yu, Fan; Feng, Chen; Li, Su – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Language production, a dynamic process involving real-time language processing, is crucial for children's language and communication development. To explore the early development of children's real-time language production, this study investigated Chinese preschool children's pausing strategies in narratives and their associations with…
Descriptors: Preschool Children, Language Processing, Gender Differences, Short Term Memory
Nguyen, Thi Quyen – English Teaching, 2023
This study investigated the effects of processing three types of texts, namely expository texts, narrative texts, and a combination of both known as twin texts, on incidental vocabulary acquisition and retention in L2 learners. College freshmen (N = 109), who were lower to upper intermediate learners of English, were assigned into a control group…
Descriptors: Language Processing, Incidental Learning, Vocabulary Development, Retention (Psychology)
Ehrensberger-Dow, Maureen; Delorme Benites, Alice; Lehr, Caroline – Interpreter and Translator Trainer, 2023
Recent developments in machine translation (MT) might have led some people to believe that soon professional translation will not be needed, but most translator trainers are aware of the high demand for the quality that MT systems cannot deliver without human intervention. It is thus important that professional translators, trainers and their…
Descriptors: Translation, Professional Education, Computational Linguistics, Computer Software
Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
The Processing of L2 Internal Syllabic Constituents: Cross-Linguistic Difference and Input Frequency
Seong, Jihye – ProQuest LLC, 2023
This dissertation examines the development of the internal structure of the Korean syllable by adult Korean learners whose native language is English. Prior research has identified the prominence of the body constituent in Korean and the rime constituent in English. The current study focuses on the acquisition of the body unit by English speakers…
Descriptors: Language Processing, Second Language Learning, Second Language Instruction, English (Second Language)
Novotny, Michal; Melechovsky, Jan; Rozenstoks, Kriss; Tykalova, Tereza; Kryze, Petr; Kanok, Martin; Klempir, Jiri; Rusz, Jan – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The purpose of this research note is to provide a performance comparison of available algorithms for the automated evaluation of oral diadochokinesis using speech samples from patients with amyotrophic lateral sclerosis (ALS). Method: Four different algorithms based on a wide range of signal processing approaches were tested on a…
Descriptors: Comparative Analysis, Diseases, Oral Language, Speech Communication
Navarro, Ester; Macnamara, Brooke N.; Glucksberg, Sam; Conway, Andrew R. A. – Discourse Processes: A Multidisciplinary Journal, 2020
The underlying cognitive mechanisms explaining why speakers sometimes make communication errors are not well understood. Some scholars have theorized that audience design engages automatic processes when a listener is present; others argue that it relies on effortful resources, even if a listener is present. We hypothesized that working memory is…
Descriptors: Cognitive Ability, Short Term Memory, Individual Differences, Error Patterns
Riffo, Bernardo; Guerra, Ernesto; Rojas, Carlos; Novoa, Abraham; Veliz, Mónica – Journal of Psycholinguistic Research, 2020
The association between a word and typical location (e.g., cloud-up) appears to modulate healthy individuals' response times and visual attention. This study examined whether similar effects can be observed in a clinical population characterized by difficulties in both spatial representation and lexical processing. In an eye-tracking experiment,…
Descriptors: Eye Movements, Reaction Time, Patients, Diseases
Mouzaki, Angeliki; Spyropoulou, Elli; Ralli, Asimina; Antoniou, Faye; Diamanti, Vassiliki; Papaioannou, Sophia – Journal of Speech, Language, and Hearing Research, 2020
Purpose: This study investigated component skills in oral language development utilizing and validating a new assessment battery in a large (N = 800) and representative sample of Greek students 4-7 years of age. Method: All participants enrolled in public schools from four geographical regions (Attica, Thessaly, Macedonia, and Crete) that varied…
Descriptors: Foreign Countries, Oral Language, Language Skills, Language Acquisition
Chen, Hui; Labertonière, Dahliane; Cheung, Hintat; Nazzi, Thierry – Journal of Child Language, 2020
Infants attune to their native language during the first two years of life, as attested by decreases in the processing of nonnative phonological sounds and reductions in the range of possible sounds accepted as labels for native words. The present study shows that French-learning infants aged 1;8 can learn new words in an unfamiliar language,…
Descriptors: Infants, Native Language, Language Processing, Language Acquisition
Niolaki, Georgia Z.; Vousden, Janet; Terzopoulos, Aris R.; Taylor, Laura M.; Sephton, Shani; Masterson, Jackie – Journal of Research in Reading, 2020
Background: The study aimed to explore to what extent variables associated with lexical and sublexical spelling processes predicted single word spelling ability and whether patterns of lexical and sublexical processes were different across ages. Methods: Beginning (mean age 7 years, N=144) and advanced (mean age 9 years, N=114) English-speaking…
Descriptors: Spelling, Literacy, Language Patterns, Prediction
LaScotte, Darren – TESL Canada Journal, 2020
To date, the vast majority of research in second language (L2) vocabulary acquisition has looked at reading, but relatively few studies have explored the potential for vocabulary acquisition through listening. As for participants involved, studies concerning first language (L1) acquisition have mainly focused on pre- and emergent-reading children,…
Descriptors: Listening Comprehension, Aural Learning, Second Language Learning, Second Language Instruction
Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring

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