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Challenges of sampling and how phylogenetic comparative methods help: With a case study of the Pama-Nyungan laminal contrast
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In: ISSN: 1430-0532 ; EISSN: 1613-415X ; Linguistic Typology ; https://hal.archives-ouvertes.fr/hal-03643365 ; Linguistic Typology, De Gruyter, In press, ⟨10.1515/lingty-2021-0025⟩ (2022)
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Modified One-Sided EWMA Charts without- and with Variable Sampling Intervals for Monitoring a Normal Process
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In: Symmetry; Volume 14; Issue 1; Pages: 159 (2022)
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Analysis of a Repetitive Language Coding System: Comparisons between Fragile X Syndrome, Autism, and Down Syndrome
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In: Brain Sciences; Volume 12; Issue 5; Pages: 575 (2022)
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Reasons behind Low Cervical Screening Uptake among South Asian Immigrant Women: A Qualitative Exploration
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1527 (2022)
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Reduced Theta Sampling in Infants at Risk for Dyslexia across the Sensitive Period of Native Phoneme Learning
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1180 (2022)
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A precise bare simulation approach to the minimization of some distances. Foundations
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In: https://hal.archives-ouvertes.fr/hal-03278232 ; 2021 (2021)
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Explorations of language and communication in autism spectrum disorder: studies of under-researched and under-served populations
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Content Analysis and the Social Sciences: Nature, features and uses
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In: ALTRALANG Journal; Vol 3 No 03 (2021): ALTRALANG Journal Volume: 03 Issue: 03 / December 2021; 169-178 ; 2710-8619 ; 2710-7922 (2021)
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A Highly Scalable Method for Extractive Text Summarization Using Convex Optimization
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In: Symmetry ; Volume 13 ; Issue 10 (2021)
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Decoding Methods in Neural Language Generation: A Survey
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In: Information ; Volume 12 ; Issue 9 (2021)
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Bidirectional String Anchors: A New String Sampling Mechanism ...
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Issues of corpus comparability and register variation in the International Corpus of English: Theories and computer applications
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Vetter, Fabian. - : Otto-Friedrich-Universität, 2021. : Bamberg, 2021. : "SPLIT", 2021
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Tongue Swab User Acceptance for Tuberculosis Diagnosis: Characterizing the Facilitators and Barriers of Tongue Swab Use During the Era of COVID-19
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The Relationship between Expressive Language Sampling and Clinical Measures in Fragile X Syndrome and Typical Development.
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In: Brain sciences, vol 10, iss 2 (2020)
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Establishing a Survey of Refugees in Germany: Challenges in Sampling, Field Work and Measurement ...
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The Relationship between Expressive Language Sampling and Clinical Measures in Fragile X Syndrome and Typical Development
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In: Brain Sciences ; Volume 10 ; Issue 2 (2020)
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How the Probabilistic Structure of Grammatical Context Shapes Speech
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In: Entropy ; Volume 22 ; Issue 1 (2020)
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Abstract:
Does systematic covariation in the usage patterns of forms shape the sublexical variance observed in conversational speech? We address this question in terms of a recently proposed discriminative theory of human communication that argues that the distribution of events in communicative contexts should maintain mutual predictability between language users, present evidence that the distributions of words in the empirical contexts in which they are learned and used are geometric, and thus support this. Here, we extend this analysis to a corpus of conversational English, showing that the distribution of grammatical regularities and the sub-distributions of tokens discriminated by them are also geometric. Further analyses reveal a range of structural differences in the distribution of types in parts of speech categories that further support the suggestion that linguistic distributions (and codes) are subcategorized by context at multiple levels of abstraction. Finally, a series of analyses of the variation in spoken language reveals that quantifiable differences in the structure of lexical subcategories appears in turn to systematically shape sublexical variation in speech signal.
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Keyword:
communicative distributions; communicative efficiency; power laws; sampling invariance; speech variance
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URL: https://doi.org/10.3390/e22010090
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Learning Translation-Based Knowledge Graph Embeddings by N-Pair Translation Loss
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In: Applied Sciences ; Volume 10 ; Issue 11 (2020)
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Detrending the Waveforms of Steady-State Vowels
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In: Entropy ; Volume 22 ; Issue 3 (2020)
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