Results for 'Phonological learning'

988 found
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  1.  12
    Neutralization and homophony avoidance in phonological learning.Sora Heng Yin & James White - 2018 - Cognition 179 (C):89-101.
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  2.  31
    Learning Phonology With Substantive Bias: An Experimental and Computational Study of Velar Palatalization.Colin Wilson - 2006 - Cognitive Science 30 (5):945-982.
    There is an active debate within the field of phonology concerning the cognitive status of substantive phonetic factors such as ease of articulation and perceptual distinctiveness. A new framework is proposed in which substance acts as a bias, or prior, on phonological learning. Two experiments tested this framework with a method in which participants are first provided highly impoverished evidence of a new phonological pattern, and then tested on how they extend this pattern to novel contexts and (...)
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  3.  38
    Learning General Phonological Rules From Distributional Information: A Computational Model.Shira Calamaro & Gaja Jarosz - 2015 - Cognitive Science 39 (3):647-666.
    Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony . This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general (...)
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  4.  25
    Learning a Phonological Contrast Modulates the Auditory Grouping of Rhythm.H. Henny Yeung, Anjali Bhatara & Thierry Nazzi - 2018 - Cognitive Science 42 (6):2000-2020.
    Perceptual grouping is fundamental to many auditory processes. The Iambic–Trochaic Law (ITL) is a default grouping strategy, where rhythmic alternations of duration are perceived iambically (weak‐strong), while alternations of intensity are perceived trochaically (strong‐weak). Some argue that the ITL is experience dependent. For instance, French speakers follow the ITL, but not as consistently as German speakers. We hypothesized that learning about prosodic patterns, like word stress, modulates this rhythmic grouping. We tested this idea by training French adults on a (...)
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  5.  25
    The phonological loop as a language learning device.Alan Baddeley, Susan Gathercole & Costanza Papagno - 1998 - Psychological Review 105 (1):158-173.
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  6.  14
    Phonological Concept Learning.Elliott Moreton, Joe Pater & Katya Pertsova - 2017 - Cognitive Science 41 (1):4-69.
    Linguistic and non-linguistic pattern learning have been studied separately, but we argue for a comparative approach. Analogous inductive problems arise in phonological and visual pattern learning. Evidence from three experiments shows that human learners can solve them in analogous ways, and that human performance in both cases can be captured by the same models. We test GMECCS, an implementation of the Configural Cue Model in a Maximum Entropy phonotactic-learning framework with a single free parameter, against the (...)
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  7.  61
    Phonological Abstraction in Processing Lexical-Tone Variation: Evidence From a Learning Paradigm.Holger Mitterer, Yiya Chen & Xiaolin Zhou - 2011 - Cognitive Science 35 (1):184-197.
    There is a growing consensus that the mental lexicon contains both abstract and word-specific acoustic information. To investigate their relative importance for word recognition, we tested to what extent perceptual learning is word specific or generalizable to other words. In an exposure phase, participants were divided into two groups; each group was semantically biased to interpret an ambiguous Mandarin tone contour as either tone1 or tone2. In a subsequent test phase, the perception of ambiguous contours was dependent on the (...)
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  8.  26
    Learning novel phonological neighbors: Syntactic category matters.Isabelle Dautriche, Daniel Swingley & Anne Christophe - 2015 - Cognition 143 (C):77-86.
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  9.  11
    Learning to read as the formation of a dynamic system: evidence for dynamic stability in phonological recoding.Claire M. Fletcher-Flinn - 2014 - Frontiers in Psychology 5.
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  10.  48
    Phonological awareness and visual skills in learning to read Chinese and English.H. S. Huang & J. Richard Hanley - 1995 - Cognition 54 (1):73-98.
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  11.  13
    Learning to read with underdeveloped phonemic awareness but lexicalized phonological recoding: a case study of a 3-year-old.C. Fletcher-Flinn - 2000 - Cognition 74 (2):177-208.
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  12.  24
    Phonological distinctive features as cues in learning.James J. Jenkins, Donald J. Foss & Joseph H. Greenberg - 1968 - Journal of Experimental Psychology 77 (2):200.
  13. Cross‐Situational Learning of Phonologically Overlapping Words Across Degrees of Ambiguity.Karen E. Mulak, Haley A. Vlach & Paola Escudero - 2019 - Cognitive Science 43 (5):e12731.
    Cross‐situational word learning (XSWL) tasks present multiple words and candidate referents within a learning trial such that word–referent pairings can be inferred only across trials. Adults encode fine phonological detail when two words and candidate referents are presented in each learning trial (2 × 2 scenario; Escudero, Mulak, & Vlach, ). To test the relationship between XSWL task difficulty and phonological encoding, we examined XSWL of words differing by one vowel or consonant across degrees of (...)
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  14. Adaptation to Novel Accents: Feature-Based Learning of Context-Sensitive Phonological Regularities.Katrin Skoruppa & Sharon Peperkamp - 2011 - Cognitive Science 35 (2):348-366.
    This paper examines whether adults can adapt to novel accents of their native language that contain unfamiliar context-dependent phonological alternations. In two experiments, French participants listen to short stories read in accented speech. Their knowledge of the accents is then tested in a forced-choice identification task. In Experiment 1, two groups of listeners are exposed to newly created French accents in which certain vowels harmonize or disharmonize, respectively, to the rounding of the preceding vowel. Despite the cross-linguistic predominance of (...)
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  15.  37
    Lexical learning in bilingual adults: The relative importance of short-term memory for serial order and phonological knowledge.Steve Majerus, Martine Poncelet, Martial Van der Linden & Brendan S. Weekes - 2008 - Cognition 107 (2):395-419.
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  16.  6
    Better Phonological Short-Term Memory Is Linked to Improved Cortical Memory Representations for Word Forms and Better Word Learning.Sari Ylinen, Anni Nora & Elisabet Service - 2020 - Frontiers in Human Neuroscience 14.
  17.  11
    Infants’ Learning of Phonological Status.Amanda Seidl & Alejandrina Cristia - 2012 - Frontiers in Psychology 3.
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  18.  4
    Variation learning in phonology and morphosyntax.Youngah Do, Jonathan Havenhill & Samuel Sui Lung Sze - 2023 - Cognition 239 (C):105573.
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  19.  23
    A computational learning model for metrical phonology.B. Elan Dresher & Jonathan D. Kaye - 1990 - Cognition 34 (2):137-195.
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  20.  17
    Can infants learn phonology in the lab? A meta-analytic answer.Alejandrina Cristia - 2018 - Cognition 170 (C):312-327.
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  21.  12
    Evidence for a learning bias against saltatory phonological alternations.James White - 2014 - Cognition 130 (1):96-115.
  22.  73
    A Single-Stage Approach to Learning Phonological Categories: Insights From Inuktitut.Brian Dillon, Ewan Dunbar & William Idsardi - 2013 - Cognitive Science 37 (2):344-377.
    To acquire one’s native phonological system, language-specific phonological categories and relationships must be extracted from the input. The acquisition of the categories and relationships has each in its own right been the focus of intense research. However, it is remarkable that research on the acquisition of categories and the relations between them has proceeded, for the most part, independently of one another. We argue that this has led to the implicit view that phonological acquisition is a “two-stage” (...)
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  23.  14
    Phonetic radicals, not phonological coding systems, support orthographic learning via self-teaching in Chinese.Luan Li, Hua-Chen Wang, Anne Castles, Miao-Ling Hsieh & Eva Marinus - 2018 - Cognition 176 (C):184-194.
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  24.  3
    Interference effects of phonological similarity in word production arise from competitive incremental learning.Qingqing Qu, Chen Feng & Markus F. Damian - 2021 - Cognition 212 (C):104738.
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  25.  2
    Interaction of phonological biases and frequency in learning a probabilistic language pattern.Hanbyul Song & James White - 2022 - Cognition 226 (C):105170.
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  26.  26
    Variation in phonological bias: Bias for vowels, rather than consonants or tones in lexical processing by Cantonese-learning toddlers.Hui Chen, Daniel T. Lee, Zili Luo, Regine Y. Lai, Hintat Cheung & Thierry Nazzi - 2021 - Cognition 213 (C):104486.
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  27.  2
    Influences of First and Second Language Phonology on Spanish Children Learning to Read in English.Carmen Hevia-Tuero, Sara Incera & Paz Suárez-Coalla - 2022 - Frontiers in Psychology 13.
    Children learning to read in two different orthographic systems are exposed to cross-linguistic interferences. We explored the effects of school and grade on phonological activation during a visual word recognition task. Elementary school children from Spain completed a lexical decision task in English. The task included real words and pseudohomophones following Spanish or English phonological rules. Using the mouse-tracking paradigm, we analyzed errors, reaction times, and computer mouse movements. Children in the bilingual school performed better than children (...)
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  28.  77
    Phonological Abstraction in the Mental Lexicon.James M. McQueen, Anne Cutler & Dennis Norris - 2006 - Cognitive Science 30 (6):1113-1126.
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  29. Is there a causal link from phonological awareness to success in learning to read?Anne Castles & Max Coltheart - 2004 - Cognition 91 (1):77-111.
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  30.  9
    Syllabic rhythm and prior linguistic knowledge interact with individual differences to modulate phonological statistical learning.Ireri Gómez Varela, Joan Orpella, David Poeppel, Pablo Ripolles & M. Florencia Assaneo - 2024 - Cognition 245 (C):105737.
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  31.  4
    Emergence of an Action Repository as Part of a Biologically Inspired Model of Speech Processing: The Role of Somatosensory Information in Learning Phonetic-Phonological Sound Features.Bernd J. Kröger, Tanya Bafna & Mengxue Cao - 2019 - Frontiers in Psychology 10.
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  32.  19
    Similarity of referents influences the learning of phonological word forms: Evidence from concurrent word learning.Libo Zhao, Stephanie Packard, Bob McMurray & Prahlad Gupta - 2019 - Cognition 190 (C):42-60.
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  33. Speech errors and the implicit learning of phonological sequences.S. Dell Gary, A. Warker Jill & Christine Whalen - 2009 - In Ezequiel Morsella, John A. Bargh & Peter M. Gollwitzer (eds.), Oxford Handbook of Human Action. Oxford University Press.
     
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  34.  19
    The Recognition of Phonologically Assimilated Words Does Not Depend on Specific Language Experience.Holger Mitterer, Valéria Csépe, Ferenc Honbolygo & Leo Blomert - 2006 - Cognitive Science 30 (3):451-479.
    In a series of 5 experiments, we investigated whether the processing of phonologically assimilated utterances is influenced by language learning. Previous experiments had shown that phonological assimilations, such as /lean#bacon/→ [leam bacon], are compensated for in perception. In this article, we investigated whether compensation for assimilation can occur without experience with an assimilation rule using automatic event-related potentials. Our first experiment indicated that Dutch listeners compensate for a Hungarian assimilation rule. Two subsequent experiments, however, failed to show compensation (...)
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  35.  26
    A Connectionist Model of Phonological Representation in Speech Perception.M. Gareth Gaskell, Mary Hare & William D. Marslen-Wilson - 1995 - Cognitive Science 19 (4):407-439.
    A number of recent studies have examined the effects of phonological variation on the perception of speech. These studies show that both the lexical representations of words and the mechanisms of lexical access are organized so that natural, systematic variation is tolerated by the perceptual system, while a general intolerance of random deviation is maintained. Lexical abstraction distinguishes between phonetic features that form the invariant core of a word and those that are susceptible to variation. Phonological inference relies (...)
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  36.  9
    Declarative Memory Predicts Phonological Processing Abilities in Adulthood.Dana T. Arthur, Michael T. Ullman & F. Sayako Earle - 2021 - Frontiers in Psychology 12.
    Individual differences in phonological processing abilities have often been attributed to perceptual factors, rather than to factors relating to learning and memory. Here, we consider the contribution of individual differences in declarative and procedural memory to phonological processing performance in adulthood. We examined the phonological processing, declarative memory, and procedural memory abilities of 79 native English-speaking young adults with typical language and reading abilities. Declarative memory was assessed with a recognition memory task of real and made-up (...)
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  37.  17
    The Growth of Children's Semantic and Phonological Networks: Insight From 10 Languages.Abdellah Fourtassi, Yuan Bian & Michael C. Frank - 2020 - Cognitive Science 44 (7):e12847.
    Children tend to produce words earlier when they are connected to a variety of other words along the phonological and semantic dimensions. Though these semantic and phonological connectivity effects have been extensively documented, little is known about their underlying developmental mechanism. One possibility is that learning is driven by lexical network growth where highly connected words in the child's early lexicon enable learning of similar words. Another possibility is that learning is driven by highly connected (...)
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  38.  9
    What Can Network Science Tell Us About Phonology and Language Processing?Michael S. Vitevitch - 2022 - Topics in Cognitive Science 14 (1):127-142.
    Contemporary psycholinguistic models place significant emphasis on the cognitive processes involved in the acquisition, recognition, and production of language but neglect many issues related to the representation of language-related information in the mental lexicon. In contrast, a central tenet of network science is that the structure of a network influences the processes that operate in that system, making process and representation inextricably connected. Here, we consider how the structure found across phonological networks of several languages from different language families (...)
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  39.  33
    Cross‐Situational Learning of Minimal Word Pairs.Paola Escudero, Karen E. Mulak & Haley A. Vlach - 2016 - Cognitive Science 40 (2):455-465.
    Cross-situational statistical learning of words involves tracking co-occurrences of auditory words and objects across time to infer word-referent mappings. Previous research has demonstrated that learners can infer referents across sets of very phonologically distinct words, but it remains unknown whether learners can encode fine phonological differences during cross-situational statistical learning. This study examined learners’ cross-situational statistical learning of minimal pairs that differed on one consonant segment, minimal pairs that differed on one vowel segment, and non-minimal pairs (...)
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  40.  36
    The Effect of Sonority on Word Segmentation: Evidence for the Use of a Phonological Universal.Marc Ettlinger, Amy S. Finn & Carla L. Hudson Kam - 2012 - Cognitive Science 36 (4):655-673.
    It has been well documented how language‐specific cues may be used for word segmentation. Here, we investigate what role a language‐independent phonological universal, the sonority sequencing principle (SSP), may also play. Participants were presented with an unsegmented speech stream with non‐English word onsets that juxtaposed adherence to the SSP with transitional probabilities. Participants favored using the SSP in assessing word‐hood, suggesting that the SSP represents a potentially powerful cue for word segmentation. To ensure the SSP influenced the segmentation process (...)
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  41.  29
    Structure and Content in Language Production: A Theory of Frame Constraints in Phonological Speech Errors.Gary S. Dell, Cornell Juliano & Anita Govindjee - 1993 - Cognitive Science 17 (2):149-195.
    Theories of language production propose that utterances are constructed by a mechanism that separates linguistic content from linguistic structure, Linguistic content is retrieved from the mental lexicon, and is then inserted into slots in linguistic structures or frames. Support for this kind of model at the phonological level comes from patterns of phonological speech errors. W present an alternative account of these patterns using a connectionist or parallel distributed proceesing (PDP) model that learns to produce sequences of (...) features. The model's errors exhibit some of the properties of human speech errors, specifically, properties that have been attributed to the action of phonological rules, frames, or other structural generalizations. (shrink)
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  42.  41
    The Effect of Sonority on Word Segmentation: Evidence for the Use of a Phonological Universal.Marc Ettlinger, Amy S. Finn & Carla L. Hudson Kam - 2012 - Cognitive Science 36 (4):655-673.
    It has been well documented how language-specific cues may be used for word segmentation. Here, we investigate what role a language-independent phonological universal, the sonority sequencing principle (SSP), may also play. Participants were presented with an unsegmented speech stream with non-English word onsets that juxtaposed adherence to the SSP with transitional probabilities. Participants favored using the SSP in assessing word-hood, suggesting that the SSP represents a potentially powerful cue for word segmentation. To ensure the SSP influenced the segmentation process (...)
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  43.  18
    Learning to perceive and recognize a second language: the L2LP model revised.Jan-Willem Van Leussen & Paola Escudero - 2015 - Frontiers in Psychology 6:103694.
    We present a test of a revised version of the Second Language Linguistic Perception (L2LP) model, a computational model of the acquisition of second language (L2) speech perception and recognition. The model draws on phonetic, phonological and psycholinguistic constructs to explain a number of L2 learning scenarios. However, a recent computational implementation failed to validate a theoretical proposal for a learning scenario where the L2 has less phonemic categories than the native language (L1) along a given acoustic (...)
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  44.  36
    The Emergence of Words: Attentional Learning in Form and Meaning.Terry Regier - 2005 - Cognitive Science 29 (6):819-865.
    Children improve at word learning during the 2nd year of life—sometimes dramatically. This fact has suggested a change in mechanism, from associative learning to a more referential form of learning. This article presents an associative exemplar-based model that accounts for the improvement without a change in mechanism. It provides a unified account of children's growing abilities to (a) learn a new word given only 1 or a few training trials (“fast mapping”); (b) acquire words that differ only (...)
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  45.  9
    Can a bird brain do phonology?Bridget D. Samuels - 2015 - Frontiers in Psychology 6:156732.
    A number of recent studies have revealed correspondences between song- and language-related neural structures, pathways, and gene expression in humans and songbirds. Analyses of vocal learning, song structure, and the distribution of song elements have similarly revealed a remarkable number of shared characteristics with human speech. This article reviews recent developments in the understanding of these issues with reference to the phonological phenomena observed in human language. This investigation suggests that birds possess a host of abilities necessary for (...)
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  46.  24
    Stem similarity modulates infants' acquisition of phonological alternations.Megha Sundara, James White, Yun Jung Kim & Adam J. Chong - 2021 - Cognition 209 (C):104573.
    Phonemes have variant pronunciations depending on context. For instance, in American English, the [t] in pat [pæt] and the [d] in pad [pæd] are both realized with a tap [ɾ] when the –ing suffix is attached, [pæɾɪŋ]. We show that despite greater distributional and acoustic support for the [t]-tap alternation, 12-month-olds successfully relate taps to stems with a perceptually-similar final [d], not the dissimilar final-[t]. Thus, distributional learning of phonological alternations is constrained by infants' preference for the alternation (...)
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  47.  74
    Using Variability to Guide Dimensional Weighting: Associative Mechanisms in Early Word Learning.Keith S. Apfelbaum & Bob McMurray - 2011 - Cognitive Science 35 (6):1105-1138.
    At 14 months, children appear to struggle to apply their fairly well-developed speech perception abilities to learning similar sounding words (e.g., bih/dih; Stager & Werker, 1997). However, variability in nonphonetic aspects of the training stimuli seems to aid word learning at this age. Extant theories of early word learning cannot account for this benefit of variability. We offer a simple explanation for this range of effects based on associative learning. Simulations suggest that if infants encode both (...)
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  48.  15
    Disrupted Subcortical-Cortical Connections in a Phonological but Not Semantic Task in Chinese Children With Dyslexia.Lihuan Zhang, Jiali Hu, Xin Liu, Emily S. Nichols, Chunming Lu & Li Liu - 2021 - Frontiers in Human Neuroscience 14.
    Reading disability has been considered as a disconnection syndrome. Recently, an increasing number of studies have emphasized the role of subcortical regions in reading. However, the majority of research on reading disability has focused on the connections amongst brain regions within the classic cortical reading network. Here, we used graph theoretical analysis to investigate whether subcortical regions serve as hubs during reading both in Chinese children with reading disability and in age-matched typically developing children using a visual rhyming judgment task (...)
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  49.  13
    Visual Statistical Learning With Stimuli Presented Sequentially Across Space and Time in Deaf and Hearing Adults.Beatrice Giustolisi & Karen Emmorey - 2018 - Cognitive Science 42 (8):3177-3190.
    This study investigated visual statistical learning (VSL) in 24 deaf signers and 24 hearing non‐signers. Previous research with hearing individuals suggests that SL mechanisms support literacy. Our first goal was to assess whether VSL was associated with reading ability in deaf individuals, and whether this relation was sustained by a link between VSL and sign language skill. Our second goal was to test the Auditory Scaffolding Hypothesis, which makes the prediction that deaf people should be impaired in sequential processing (...)
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  50.  47
    Testing the Limits of Long-Distance Learning: Learning Beyond a Three-Segment Window.Sara Finley - 2012 - Cognitive Science 36 (4):740-756.
    Traditional flat-structured bigram and trigram models of phonotactics are useful because they capture a large number of facts about phonological processes. Additionally, these models predict that local interactions should be easier to learn than long-distance ones because long-distance dependencies are difficult to capture with these models. Long-distance phonotactic patterns have been observed by linguists in many languages, who have proposed different kinds of models, including feature-based bigram and trigram models, as well as precedence models. Contrary to flat-structured bigram and (...)
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