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Listener expectations and the perceptual accommodation of talker variability: A pre-registered replication
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In: Atten Percept Psychophys (2021)
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Does signal reduction imply predictive coding in models of spoken word recognition?
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In: Psychon Bull Rev (2021)
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Friends in Low-Entropy Places: Orthographic Neighbor Effects on Visual Word Identification Differ Across Letter Positions
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In: Cogn Sci (2020)
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Is that a pibu or a pibo? Children with reading and language deficits show difficulties in learning and overnight consolidation of phonologically similar pseudowords
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In: Dev Sci (2020)
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Boosting lexical support does not enhance lexically guided perceptual learning
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In: J Exp Psychol Learn Mem Cogn (2020)
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Individual differences in subphonemic sensitivity and phonological skills
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Effects of Attention on the Strength of Lexical Influences on Speech Perception: Behavioral Experiments and Computational Mechanisms. ...
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Effects of Attention on the Strength of Lexical Influences on Speech Perception: Behavioral Experiments and Computational Mechanisms. ...
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Universal Features in Phonological Neighbor Networks
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In: Entropy (Basel) (2018)
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Universal Features in Phonological Neighbor Networks
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In: Psychology Publications (2018)
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Abstract:
Human speech perception involves transforming a countinuous acoustic signal into discrete linguistically meaningful units (phonemes) while simultaneously causing a listener to activate words that are similar to the spoken utterance and to each other. The Neighborhood Activation Model posits that phonological neighbors (two forms [words] that differ by one phoneme) compete significantly for recognition as a spoken word is heard. This definition of phonological similarity can be extended to an entire corpus of forms to produce a phonological neighbor network (PNN). We study PNNs for five languages: English, Spanish, French, Dutch, and German. Consistent with previous work, we find that the PNNs share a consistent set of topological features. Using an approach that generates random lexicons with increasing levels of phonological realism, we show that even random forms with minimal relationship to any real language, combined with only the empirical distribution of language-specific phonological form lengths, are sufficient to produce the topological properties observed in the real language PNNs. The resulting pseudo-PNNs are insensitive to the level of lingustic realism in the random lexicons but quite sensitive to the shape of the form length distribution. We therefore conclude that “universal” features seen across multiple languages are really string universals, not language universals, and arise primarily due to limitations in the kinds of networks generated by the one-step neighbor definition. Taken together, our results indicate that caution is warranted when linking the dynamics of human spoken word recognition to the topological properties of PNNs, and that the investigation of alternative similarity metrics for phonological forms should be a priority.
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Keyword:
Cognitive Psychology; neighborhood activation model; networks; Phonetics and Phonology; phonological neighbor network; phonology; Psychology
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URL: https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1175&context=psychologypub https://ir.lib.uwo.ca/psychologypub/171
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Breaking Down the Bilingual Cost in Speech Production
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In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-01432304 ; Cognitive Science, Wiley, 2016, 40 (8), pp.1911-1940. ⟨10.1111/cogs.12315⟩ (2016)
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The real-time prediction and inhibition of linguistic outcomes: Effects of language and literacy skill
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The real-time prediction and inhibition of linguistic outcomes: Effects of language and literacy skill
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Functionally integrated neural processing of linguistic and talker information: An event-related fMRI and ERP study
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Lexical Processing Deficits in Children with Developmental Language Disorder: An Event-Related Potentials Study
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