Results 61 to 70 of about 131,744 (288)
The basis of transfer in artificial grammar learning [PDF]
Memory & Cognition, 2000 In two experiments, we examined the extent to which knowledge of sequential dependencies and/or patterns of repeating elements is used during transfer in artificial grammar learning. According to one view of transfer, learners abstract the grammar's sequential dependencies and then learn a mapping to new vocabulary at test (Dienes, Altmann, & Gao, 1999)
R L, Gomez, L, Gerken, R W, Schvaneveldt
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Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
Advanced Intelligent Systems, EarlyView.This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Two Case Studies in Phonological Universals: A View from Artificial Grammars
Biolinguistics, 2010 This article summarizes the results of two experiments that use artificial grammar learning in order to test proposed phonological universals. The first universal involves limits on precedence-modification in phonological representations, drawn from a ...
Andrew Nevins
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Learning language with the wrong neural scaffolding: The cost of neural commitment to sounds.
Frontiers in Systems Neuroscience, 2013 Does tuning to one’s native language explain the sensitive period for language learning? We explore the idea that tuning to (or becoming more selective for) the properties of one’s native-language could result in being less open (or plastic) for tuning ...
Amy Sue Finn +5 more
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Glossa, 2022 In previous research of tonal phonology, contour tones were assumed to be phonologically presented not only as a sequence of level tones but also as a single unit.
Tsung-Ying Chen
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Statistical Learning in Aphasia: Preliminary Results from an Artificial Grammar Learning Task [PDF]
, 2014 Statistical learning, i.e., the discovery of structure based on statistical properties of stimuli, is considered an implicit process that plays an important role in nonlinguistic and linguistic tasks, including speech segmentation and grammar learning ...
Schuchard, Julia, Thompson, Cynthia K.
core
AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials
Advanced Intelligent Systems, EarlyView.Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley +1 more source
Brain networks of explicit and implicit learning. [PDF]
PLoS ONE, 2012 Are explicit versus implicit learning mechanisms reflected in the brain as distinct neural structures, as previous research indicates, or are they distinguished by brain networks that involve overlapping systems with differential connectivity?
Jing Yang, Ping Li
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“Artificial grammar learning” in pigeons: A preliminary analysis [PDF]
Learning & Behavior, 2003 An avian analogue to human artificial or synthetic grammar learning (Reber, 1967) was developed. Pigeons viewed horizontal strings of three to eight colored letters. These strings either conformed to Reber's artificial grammar or violated it in one or two locations. Pigeons categorized the letter strings as grammatical (left keypeck) or nongrammatical (
Walter T, Herbranson, Charles P, Shimp
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A practical guide to using diary methods in qualitative research
Anatomical Sciences Education, EarlyView.Abstract The use of qualitative methods is growing in anatomical sciences education. While common qualitative methods such as interviews and focus groups can provide rich insights into participant experiences, there is a wide variety of other qualitative methods that are ideal for different research topics.
Georgina C. Stephens +2 more
wiley +1 more source