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Schiller, Isabel S.; Morsomme, Dominique; Kob, Malte; Remacle, Angélique – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Our aim was to investigate isolated and combined effects of speech-shaped noise (SSN) and a speaker's impaired voice quality on spoken language processing in first-grade children. Method: In individual examinations, 53 typically developing children aged 5-6 years performed a speech perception task (phoneme discrimination) and a listening…
Descriptors: Acoustics, Speech, Language Processing, Elementary School Students
Lippert, Anne; Shubeck, Keith; Morgan, Brent; Hampton, Andrew; Graesser, Arthur – Technology, Knowledge and Learning, 2020
This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent…
Descriptors: Intelligent Tutoring Systems, Man Machine Systems, Natural Language Processing, Educational Technology
AL Qahtani, Osama – Advances in Language and Literary Studies, 2020
Most sacred texts are filled with denotative and connotative meanings, thus making theses texts holy and sacred. This results in making these texts sensitive when dealing with the original text or the translated text. The reason for this sensitivity can be due to the content of the taboo or hidden message within the text. Euphemism is one of the…
Descriptors: Translation, Islam, Semitic Languages, Religious Factors
Key, Alexandra P.; Venker, Courtney E.; Sandbank, Micheal P. – American Journal on Intellectual and Developmental Disabilities, 2020
It can be challenging to accurately assess speech and language processing in preverbal or minimally verbal individuals with neurodevelopmental disabilities (NDD) using standardized behavioral tools. Event-related potential and eye tracking methods offer novel means to objectively document receptive language processing without requiring purposeful…
Descriptors: Speech Impairments, Language Impairments, Language Processing, Neurological Impairments
Evans, William S.; Hula, William D.; Quique, Yina; Starns, Jeffrey J. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Aphasia is a language disorder caused by acquired brain injury, which generally involves difficulty naming objects. Naming ability is assessed by measuring picture naming, and models of naming performance have mostly focused on accuracy and excluded valuable response time (RT) information. Previous approaches have therefore ignored the…
Descriptors: Aphasia, Pictorial Stimuli, Brain, Injuries
Rao, Dhawaleswar; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2020
Automatic multiple choice question (MCQ) generation from a text is a popular research area. MCQs are widely accepted for large-scale assessment in various domains and applications. However, manual generation of MCQs is expensive and time-consuming. Therefore, researchers have been attracted toward automatic MCQ generation since the late 90's.…
Descriptors: Multiple Choice Tests, Test Construction, Automation, Computer Software
Lin, Yi; Ding, Hongwei; Zhang, Yang – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Emotional speech communication involves multisensory integration of linguistic (e.g., semantic content) and paralinguistic (e.g., prosody and facial expressions) messages. Previous studies on linguistic versus paralinguistic salience effects in emotional speech processing have produced inconsistent findings. In this study, we investigated…
Descriptors: Suprasegmentals, Semantics, Language Processing, Speech Communication
Lippert, Anne; Shubeck, Keith; Morgan, Brent; Hampton, Andrew; Graesser, Arthur – Grantee Submission, 2020
This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent…
Descriptors: Intelligent Tutoring Systems, Man Machine Systems, Natural Language Processing, Educational Technology
Chopra, Harshita; Lin, Yiwen; Samadi, Mohammad Amin; Cavazos, Jacqueline G.; Yu, Renzhe; Jaquay, Spencer; Nixon, Nia – International Educational Data Mining Society, 2023
Exploring students' discourse in academic settings over time can provide valuable insight into the evolution of learner engagement and participation in online learning. In this study, we propose an analytical framework to capture topics and the temporal progression of learner discourse. We employed a Contextualized Topic Modeling technique on…
Descriptors: Semantics, Computer Mediated Communication, Pandemics, COVID-19
K. K. Nair, Vishnu; Clark, Grace T.; Siyambalapitiya, Samantha; Reuterskiöld, Christina – International Journal of Language & Communication Disorders, 2023
Background: Although there is a growing body of literature on cognitive and language processing in bilingual children with developmental language disorder (DLD), there is a major gap in the evidence for language intervention. Critically, speech-language therapists are often required to make clinical decisions for language intervention on specific…
Descriptors: Bilingualism, Language Impairments, Intervention, Language Processing
Zhou, Lin; Perfetti, Charles – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Phonological interference during written-word meaning judgments occurs in both Chinese and English, suggesting that word-level phonological activation is universal rather than dependent on the sublexical structures that vary with writing systems. To accommodate this universality, we distinguish two sources of phonological congruence between a…
Descriptors: Phonology, Interference (Language), Orthographic Symbols, Alphabets
Pulido, Manuel F. – Language Learning, 2023
Recent research has shown that knowledge of second language (L2) collocations is important to learners for improving their language processing and production but also that acquiring L2-specific collocations is a very burdensome task for learners. Thus, bootstrapping knowledge of L2 collocations through generalization is highly desirable, but this…
Descriptors: Phrase Structure, Second Language Learning, Second Language Instruction, Native Language
Lee, Albert; Li, Xiaolin; Mok, Peggy – Second Language Research, 2023
This article revisits Lee and Mok (2018) and examines how the Cantonese learners in the study produced second language (L2) Japanese short vs. long consonants which are absent in their first language (L1). Specifically, our goal is to find out whether these learners were substituting real geminates (i.e. long consonants) with the improvised…
Descriptors: Language Processing, Japanese, Speech Communication, Phrase Structure
Díaz-Millón, Mar; Rivera-Trigueros, Irene; Gutiérrez-Artacho, Juncal – Interpreter and Translator Trainer, 2023
The new contexts in higher education, shifting from face-to-face to online scenarios, encourage the application of disruptive methodologies adapted to distance learning. Translation and interpreting (T&I) programmes ideally foster the acquisition of competencies such as self-study, which graduates need to enter a largely freelance and…
Descriptors: Teaching Methods, Distance Education, Translation, Professional Education
Gillani, Nabeel; Eynon, Rebecca; Chiabaut, Catherine; Finkel, Kelsey – Educational Technology & Society, 2023
Recent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential to improve education. However, AI is a loose umbrella term that refers to a collection of methods, capabilities, and limitations--many of which are often not explicitly articulated by researchers, education technology companies, or other AI developers.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Educational Benefits

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