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Jessie S. Barrot – Technology, Knowledge and Learning, 2024
This emerging technology report delves into the role of ChatGPT, an OpenAI conversational AI, in language learning. The initial section introduces ChatGPT's nature and highlights its features, including accessibility, personalization, immersive learning, and instant feedback, which render it a valuable asset for language learners and educators…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Language Acquisition
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Sterrett, Kyle; Freeman, Stephanny; Hayashida, Kristen; Kim, Joanne J.; Paparella, Tanya – Young Exceptional Children, 2023
Preverbal communication means any social behavior that occurs before children communicate verbally. Generally, these communicative behaviors are categorized into two ways: as behavior regulation (BR) or joint attention (JA) skills. BR, also referred to as requesting, involves the use of behaviors to gain something or receive assistance (Mundy et…
Descriptors: Verbal Communication, Intervention, Behavior Development, Natural Language Processing
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Akamoglu, Yusuf; Dinnebeil, Laurie – Young Exceptional Children, 2017
Naturalistic language and communication strategies (i.e., naturalistic teaching strategies) refer to practices that are used to promote the child's language and communication skills either through verbal (e.g., spoken words) or nonverbal (e.g., gestures, signs) interactions between an adult (e.g., parent, teacher) and a child. Use of naturalistic…
Descriptors: Early Intervention, Coaching (Performance), Feedback (Response), Communication Strategies
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Harbusch, Karin; Cameran, Christel-Joy; Härtel, Johannes – Research-publishing.net, 2014
We present a new feedback strategy implemented in a natural language generation-based e-learning system for German as a second language (L2). Although the system recognizes a large proportion of the grammar errors in learner-produced written sentences, its automatically generated feedback only addresses errors against rules that are relevant at…
Descriptors: German, Second Language Learning, Second Language Instruction, Feedback (Response)
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Lin, Phoebe M. S. – Applied Linguistics, 2012
With the ever increasing number of studies on formulaic language, we are beginning to learn more about the processing of formulaic language (e.g. Ellis et al. 2008; Siyanova et al. 2011), its use in speech (e.g. Aijmer 1996; Wood 2012) and writing (e.g. Hyland 2008a, 2008b) and its application in natural language processing (e.g. Tschichold 2000).…
Descriptors: Evidence, Language Research, Applied Linguistics, Memory
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Madden, Carol; Hoen, Michel; Dominey, Peter Ford – Brain and Language, 2010
This article addresses issues in embodied sentence processing from a "cognitive neural systems" approach that combines analysis of the behavior in question, analysis of the known neurophysiological bases of this behavior, and the synthesis of a neuro-computational model of embodied sentence processing that can be applied to and tested in the…
Descriptors: Sentences, Simulation, Interaction, Language Processing
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Hammond, Michael – International Journal of English Studies, 2008
Finite-state methods are finding ever increasing use among linguists as a way of modeling phonology and morphology and as a method for manipulating and modeling text. This paper describes a suite of very simple finite-state tools written by the author that can be used to investigate this area and that can be used for simple analysis.
Descriptors: Phonology, Morphology (Languages), Program Descriptions, Educational Technology