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The voice of experience: Causal inference in phonotactic adaptation
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 5 ; 1868-6354 (2021)
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Word-initial rhotic avoidance: a typological survey
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 9 ; 2397-1835 (2021)
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The role of inventory similarity and phonotactics in temporal nasalization patterns: Data from Tagalog and English ...
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Linguistic analysis, ethical practice, and quality assurance in anonymizing recordings of spoken language for deposit in digital archives
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Lexical strata and phonotactic perplexity minimization
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Learning nonlocal phonotactics in Strictly Piecewise phonotactic model
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Learning Interactions of Local and Non-Local Phonotactic Constraints from Positive Input
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Complex onsets and coda markedness in Persian
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In: Nordlyd: Tromsø University Working Papers on Language & Linguistics, Vol 45, Iss 1 (2021) (2021)
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Insertion of vowels in English syllabic consonantal clusters pronounced by L1 Polish speakers
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In: Open Linguistics, Vol 7, Iss 1, Pp 331-341 (2021) (2021)
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Learning Nonlocal Phonotactics in a Strictly Piecewise Probabilistic Phonotactic Model
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In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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Against the Law of Three Consonants in French: Evidence from Judgment Data
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In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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Lexical Strata and Phonotactic Perplexity Minimization
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In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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Abstract:
We present a model of gradient phonotactics that is shown to reduce overall phoneme uncertainty in a language when the phonotactic grammar is modularized in an unsupervised fashion to create more than one sub-grammar. Our model is a recurrent neural network language model (Elman 1990), which, when applied in two separate, randomly initialized modules to a corpus of Japanese words, learns lexical subdivisions that closely correlate with two of the main lexical strata for Japanese (Yamato and Sino-Japanese) proposed by Ito and Mester (1995). We find that the gradient phonotactics learned by the model, which are based on the entire prior context of a phoneme, reveal a continuum of gradient strata membership, similar to the gradient membership proposed by Hayes (2016) for the Native vs. Latinate stratification in English.
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Keyword:
gradient phonotactics; Japanese; lexical strata; neural network language model
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URL: http://journals.linguisticsociety.org/proceedings/index.php/amphonology/article/view/4918 https://doi.org/10.3765/amp.v9i0.4918
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"Kansen cogoyama": Bamanankan mankankalan kelennin dɔ ; Featural foot in Bambara ; Le « pied caractéristique », une unité phonétique en bambara
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In: ISSN: 0167-6164 ; EISSN: 1613-3811 ; Journal of African Languages and Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03195237 ; Journal of African Languages and Linguistics, De Gruyter, 2020, 41 (2), pp.265-300. ⟨10.1515/jall-2020-2012⟩ ; https://www.degruyter.com/journal/key/JALL/html (2020)
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