The Experts below are selected from a list of 7116 Experts worldwide ranked by ideXlab platform
Paul A. Luce - One of the best experts on this subject based on the ideXlab platform.
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Phonotactics, density, and entropy in spoken word recognition
Language and Cognitive Processes, 2001Co-Authors: Paul A. Luce, Nathan R. LargeAbstract:Previous research has demonstrated that increases in phonotactic probability facilitate spoken word processing, whereas increased competition among lexical representations is often associated with slower and less accurate recognition. We examined the combined effects of probabilistic Phonotactics and lexical competition by generating words and nonwords that varied orthogonally on Phonotactics and similarity neighbourhood density. The results from a speeded same-different task revealed simultaneous facilitative effects of Phonotactics and inhibitory effects of lexical competition for real word stimuli. However, the nonword stimuli produced an apparently anomalous pattern of results. In a subsequent experiment, we identieed the source of this anomaly by estimating behaviourally the speciec lexical competitors activated by our nonwords. Our results suggest that, under speciec circumstances, neighbourhood density and probabilistic Phonotactics may combine to produce non-additive or synergistic effects of lexical competition on processing times.
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Phonotactics and Syllable Stress: Implications for the Processing of Spoken Nonsense Words:
Language and Speech, 1997Co-Authors: Michael S. Vitevitch, Paul A. Luce, Jan Charles‐luce, David KemmererAbstract:Phonotactics Two experiments using bisyllabic CVCCVC nonsense words that varied in phonotactic probability and stress placement were conducted to examine the influences of phonotactic and metrical information on spoken word recognition. Experiment 1 examined participants' intuitions about the phonological "goodness" of nonsense words. Experiment 2 examined processing times for the same stimuli in a speeded auditory repetition task. The results of both studies provide further evidence that the phonotactic configuration and stress placement of spoken stimuli have important implications for the representation and processing of spoken words. syllable stress
Gary S Dell - One of the best experts on this subject based on the ideXlab platform.
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learning the Phonotactics of button pushing consolidation retention and syllable structure
Journal of Experimental Psychology: Learning Memory and Cognition, 2019Co-Authors: Adnan Rebei, Nathaniel D Anderson, Gary S DellAbstract:Every language has unique Phonotactics, general rules about how phonemes combine to make syllables. We know that people can implicitly learn new phonotactic rules in the laboratory, and these rules then affect their speech errors. Some types of rules, however, require a consolidation period before they influence speech errors. Two experiments are reported that replicate a recent study that transferred this finding to a nonspeech domain. In this study and our replications, the production of a consonant-vowel-consonant syllable is replaced by pushing three buttons-a finger, a thumb, and another finger. These button-push studies reproduce prior findings in the speech domain about consolidation and the retention of phonotactic learning but also point to some differences, suggesting that the massive amount of experience that adults have producing syllables leads to unique effects. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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learning to speak by listening transfer of Phonotactics from perception to production
Journal of Memory and Language, 2016Co-Authors: Audrey K Kittredge, Gary S DellAbstract:Abstract The language production and perception systems rapidly learn novel phonotactic constraints. In production, for example, producing syllables in which /f/ is restricted to onset position (e.g. as /h/ is in English) causes one’s speech errors to mirror that restriction. We asked whether or not perceptual experience of a novel phonotactic distribution transfers to production. In three experiments, participants alternated hearing and producing strings of syllables. In the same condition, the production and perception trials followed identical Phonotactics (e.g. /f/ is onset). In the opposite condition, they followed reverse constraints (e.g. /f/ is onset for production, but /f/ is coda for perception). The tendency for speech errors to follow the production constraint was diluted when the opposite pattern was present on perception trials, thus demonstrating transfer of learning from perception to production. Transfer only occurred for perceptual tasks that may involve internal production, including an error monitoring task, which we argue engages production via prediction.
Alain De Cheveigne - One of the best experts on this subject based on the ideXlab platform.
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low frequency cortical responses to natural speech reflect probabilistic Phonotactics
NeuroImage, 2019Co-Authors: Giovanni M Di Liberto, Daniel D E Wong, Gerda Ana Melnik, Alain De CheveigneAbstract:Abstract Humans comprehend speech despite the various challenges such as mispronunciation and noisy environments. Our auditory system is robust to these thanks to the integration of the sensory input with prior knowledge and expectations built on language-specific regularities. One such regularity regards the permissible phoneme sequences, which determine the likelihood that a word belongs to a given language (phonotactic probability; “blick” is more likely to be an English word than “bnick”). Previous research demonstrated that violations of these rules modulate brain-evoked responses. However, several fundamental questions remain unresolved, especially regarding the neural encoding and integration strategy of Phonotactics in naturalistic conditions, when there are no (or few) violations. Here, we used linear modelling to assess the influence of phonotactic probabilities on the brain responses to narrative speech measured with non-invasive EEG. We found that the relationship between continuous speech and EEG responses is best described when the stimulus descriptor includes phonotactic probabilities. This indicates that low-frequency cortical signals (
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Cortical responses to natural speech reflect probabilistic Phonotactics
2018Co-Authors: Giovanni M Di Liberto, Daniel D E Wong, Gerda Ana Melnik, Alain De CheveigneAbstract:Humans comprehend speech despite the various challenges of real-world environments, such as loud noise and mispronunciation. Our auditory system is robust to these thanks to the integration of the upcoming sensory input with prior knowledge and expectations built on language-specific regularities. One such regularity regards the permissible phoneme sequences, which determine the likelihood that a word belongs to a given language (phonotactic probability; 'blick' is more likely to be an English word than 'bnick'). Previous research suggested that violations of these rules modulate brain evoked responses such as the N400 and the late positive complex. Yet several fundamental questions remain unresolved, especially regarding the neural encoding and integration strategy of phonotactic information. Here, we used linear modelling approaches to assess the influence of phonotactic probabilities on the brain responses to narrative speech measured with non-invasive EEG. We found that the relationship between continuous speech and EEG responses is best described when the speech descriptor includes phonotactic probabilities. This provides us with a methodology to isolate and measure the brain responses to Phonotactics using natural speech at the individual subject-level. Furthermore, such low-frequency signals showed the strongest speech-EEG interactions at latencies of 100-400 ms, supporting a pre-lexical role of phonotactic information.
Michael C W Yip - One of the best experts on this subject based on the ideXlab platform.
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spoken word recognition of l2 using probabilistic Phonotactics in l1 evidence from cantonese english bilinguals
Language Sciences, 2020Co-Authors: Michael C W YipAbstract:Abstract Previous research in various languages has demonstrated that probabilistic Phonotactics may serve as a cue to locate the beginnings and endings of spoken words in speech. It was hypothesized these types of information in L1 might also be used in spoken word recognition of L2 by fluent bilingual listeners. The present study used a word-spotting experiment investigate whether Cantonese-English bilingual listeners make use of their L1 (Cantonese) probabilistic phonotactic information in recognizing spoken words in L2 (English) speech. The results showed that the Cantonese-English bilingual listeners made use of L1 probabilistic Phonotactics to recognize L2 words in speech.
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recognition of spoken words in l2 speech using l1 probabilistic Phonotactics evidence from cantonese english bilinguals
International Symposium on Chinese Spoken Language Processing, 2016Co-Authors: Michael C W YipAbstract:This study investigates whether Cantonese-English bilingual listeners make implicit use of their L1 (Cantonese) probabilistic phonotactic information in recognizing spoken words in L2 (English) speech. Previous research in different languages demonstrated that probabilistic Phonotactics could serve as a cue to locate the possible word boundary in continuous speech. The use of these kinds of information in L1 may also be used in L2 listening for fluent bilingual listeners. In the present study, a word-spotting experiment was conducted to answer this empirical question. The results revealed that the Cantonese-English bilingual listeners might not make use of all, but some of, the information of L1 probabilistic Phonotactics in recognizing spoken words in L2 speech.
Nathan R. Large - One of the best experts on this subject based on the ideXlab platform.
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Phonotactics, density, and entropy in spoken word recognition
Language and Cognitive Processes, 2001Co-Authors: Paul A. Luce, Nathan R. LargeAbstract:Previous research has demonstrated that increases in phonotactic probability facilitate spoken word processing, whereas increased competition among lexical representations is often associated with slower and less accurate recognition. We examined the combined effects of probabilistic Phonotactics and lexical competition by generating words and nonwords that varied orthogonally on Phonotactics and similarity neighbourhood density. The results from a speeded same-different task revealed simultaneous facilitative effects of Phonotactics and inhibitory effects of lexical competition for real word stimuli. However, the nonword stimuli produced an apparently anomalous pattern of results. In a subsequent experiment, we identieed the source of this anomaly by estimating behaviourally the speciec lexical competitors activated by our nonwords. Our results suggest that, under speciec circumstances, neighbourhood density and probabilistic Phonotactics may combine to produce non-additive or synergistic effects of lexical competition on processing times.