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Orangutan information broadcast via consonant-like and vowel-like calls breaches mathematical models of linguistic evolution
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Transforming the study of organisms: Phenomic data models and knowledge bases.
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In: PLoS computational biology, vol 16, iss 11 (2020)
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Three-dimensional vocal fold structural change due to implant insertion in medialization laryngoplasty.
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In: PloS one, vol 15, iss 1 (2020)
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Differential asthma odds following respiratory infection in children from three minority populations.
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In: PloS one, vol 15, iss 5 (2020)
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Differential asthma odds following respiratory infection in children from three minority populations.
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In: PloS one, vol 15, iss 5 (2020)
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The relationships between oral language and reading instruction: Evidence from a computational model of reading. ...
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Racial/Ethnic and Sex Differences in Emergency Medical Services Transport Among Hospitalized US Stroke Patients: Analysis of the National Get With The Guidelines-Stroke Registry.
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Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
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Chunking and redintegration in verbal short-term memory. ...
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A unified neurocomputational bilateral model of spoken language production in healthy participants and recovery in poststroke aphasia. ...
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A unified model of post-stroke language deficits including discourse production and their neural correlates. ...
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A unified model of post-stroke language deficits including discourse production and their neural correlates.
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A unified neurocomputational bilateral model of spoken language production in healthy participants and recovery in poststroke aphasia.
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The relationships between oral language and reading instruction: Evidence from a computational model of reading.
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Evidence against interactive effects on articulation in Javanese verb paradigms.
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In: Psychonomic bulletin & review, vol 26, iss 5 (2019)
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Word frequency effects in sound change as a consequence of perceptual asymmetries: An exemplar-based model.
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Abstract:
Empirically-observed word frequency effects in regular sound change present a puzzle: how can high-frequency words change faster than low-frequency words in some cases, slower in other cases, and at the same rate in yet other cases? We argue that this puzzle can be answered by giving substantial weight to the role of the listener. We present an exemplar-based computational model of regular sound change in which the listener plays a large role, and we demonstrate that it generates sound changes with properties and word frequency effects seen in corpora. In particular, we consider the experimentally-supported assumption that high-frequency words may be more robustly recognized than low-frequency words in the face of acoustic ambiguity. We show that this assumption allows high-frequency words to change at the same rate as low-frequency words when a phoneme category moves without encroaching on the acoustic space of another, faster than low-frequency words when it moves toward another, and slower than low-frequency words when it moves away from another. We discuss how these predicted word frequency effects apply to different types of sound changes that have been observed in the literature. Importantly, these frequency effects follow from assumptions regarding processes in perception, not production. Frequency-based asymmetries in perception predict different frequency effects for different kinds of sound change.
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Keyword:
Communication and Culture; Computational model; Exemplar Theory; Experimental Psychology; Humans; Information and Computing Sciences; Language; Lexical frequency; Models; Phonetics; Psycholinguistics; Psychological Theory; Psychology and Cognitive Sciences; Sound change; Speech Acoustics; Speech Perception; Theoretical
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URL: https://escholarship.org/uc/item/77g9151v
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A new argument for co-active parses during language comprehension.
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In: Journal of experimental psychology. Learning, memory, and cognition, vol 45, iss 7 (2019)
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Spatial memory in Huntington's disease: A comparative review of human and animal data.
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Color Naming Reflects Both Perceptual Structure and Communicative Need.
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In: Topics in cognitive science, vol 11, iss 1 (2019)
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