Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 2 |
Descriptor
Phonemes | 3 |
Vocabulary | 3 |
Cues | 2 |
Word Recognition | 2 |
Artificial Languages | 1 |
Cognitive Processes | 1 |
English | 1 |
Eye Movements | 1 |
Familiarity | 1 |
Input Output | 1 |
Language Processing | 1 |
More ▼ |
Source
Cognition | 3 |
Author
Aslin, Richard N. | 1 |
Creel, Sarah C. | 1 |
Fernandes, Tania | 1 |
Kolinsky, Regine | 1 |
Norris, Dennis | 1 |
Tanenhaus, Michael K. | 1 |
Ventura, Paulo | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Fernandes, Tania; Kolinsky, Regine; Ventura, Paulo – Cognition, 2009
This study combined artificial language learning (ALL) with conventional experimental techniques to test whether statistical speech segmentation outputs are integrated into adult listeners' mental lexicon. Lexicalization was assessed through inhibitory effects of novel neighbors (created by the parsing process) on auditory lexical decisions to…
Descriptors: Cues, Phonology, Artificial Languages, Probability
Creel, Sarah C.; Aslin, Richard N.; Tanenhaus, Michael K. – Cognition, 2008
Two experiments used the head-mounted eye-tracking methodology to examine the time course of lexical activation in the face of a non-phonemic cue, talker variation. We found that lexical competition was attenuated by consistent talker differences between words that would otherwise be lexical competitors. In Experiment 1, some English cohort…
Descriptors: Vocabulary, Cues, Cognitive Processes, Eye Movements

Norris, Dennis – Cognition, 1994
The Shortlist model is presented, which incorporates the desirable properties of earlier models of back-propagation networks with recurrent connections that successfully model many aspects of human spoken word recognition. The new model is entirely bottom-up and can readily perform simulations with vocabularies of tens of thousands of words. (DR)
Descriptors: Input Output, Language Processing, Models, Oral Language