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The AUTOTYP database ...
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The AUTOTYP database ...
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The AUTOTYP database ...
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The extent and degree of utterance-final word lengthening in spontaneous speech from 10 languages
In: Linguistics Vanguard ; https://hal.univ-lyon2.fr/hal-03167445 ; Linguistics Vanguard, 2021, 7 (1), pp.20190063. ⟨10.1515/lingvan-2019-0063⟩ (2021)
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Appositive possession in Ainu and around the Pacific ...
Bickel, Balthasar. - : Open Science Framework, 2021
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Managing AUTOTYP Data: Design Principles and Implementation ...
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Managing AUTOTYP Data: Design Principles and Implementation ...
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Supplementary material from "Contact-tracing in cultural evolution: a Bayesian mixture model to detect geographic areas of language contact" ...
Ranacher, Peter; Neureiter, Nico; van Gijn, Rik. - : The Royal Society, 2021
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Supplementary material from "Contact-tracing in cultural evolution: a Bayesian mixture model to detect geographic areas of language contact" ...
Ranacher, Peter; Neureiter, Nico; van Gijn, Rik. - : The Royal Society, 2021
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Supplementary material from "Can Bayesian phylogeography reconstruct migrations and expansions in linguistic evolution?" ...
Neureiter, Nico; Ranacher, Peter; Gijn, Rik Van. - : The Royal Society, 2021
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Can Bayesian phylogeography reconstruct migrations and expansions in linguistic evolution? ...
Neureiter, Nico; Ranacher, Peter; Van Gijn, Rik. - : Royal Society Publishing, 2021
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Supporting Information: Can Bayesian phylogeography reconstruct migrations and expansions in linguistic evolution? ...
Neureiter, Nico; Ranacher, Peter; Gijn, Rik Van. - : The Royal Society, 2021
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Supporting Information: Can Bayesian phylogeography reconstruct migrations and expansions in linguistic evolution? ...
Neureiter, Nico; Ranacher, Peter; Gijn, Rik Van. - : The Royal Society, 2021
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The extent and degree of utterance-final word lengthening in spontaneous speech from 10 languages
Seifart, Frank; Strunk, Jan; Danielsen, Swintha. - : WALTER DE GRUYTER GMBH, 2021
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Child-directed speech is optimized for syntax-free semantic inference
In: Sci Rep (2021)
Abstract: The way infants learn language is a highly complex adaptive behavior. This behavior chiefly relies on the ability to extract information from the speech they hear and combine it with information from the external environment. Most theories assume that this ability critically hinges on the recognition of at least some syntactic structure. Here, we show that child-directed speech allows for semantic inference without relying on explicit structural information. We simulate the process of semantic inference with machine learning applied to large text collections of two different types of speech, child-directed speech versus adult-directed speech. Taking the core meaning of causality as a test case, we find that in child-directed speech causal meaning can be successfully inferred from simple co-occurrences of neighboring words. By contrast, semantic inference in adult-directed speech fundamentally requires additional access to syntactic structure. These results suggest that child-directed speech is ideally shaped for a learner who has not yet mastered syntactic structure.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pubmed/34400656
https://doi.org/10.1038/s41598-021-95392-x
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8368066/
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Can Bayesian phylogeography reconstruct migrations and expansions in linguistic evolution?
In: R Soc Open Sci (2021)
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Contact-tracing in cultural evolution: a Bayesian mixture model to detect geographic areas of language contact
In: J R Soc Interface (2021)
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Neural signatures of syntactic variation in speech planning
In: PLoS Biol (2021)
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Supplementary material from "Can Bayesian phylogeography reconstruct migrations and expansions in linguistic evolution?" ...
Neureiter, Nico; Ranacher, Peter; Gijn, Rik Van. - : The Royal Society, 2020
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Supplementary material from "Can Bayesian phylogeography reconstruct migrations and expansions in linguistic evolution?" ...
Neureiter, Nico; Ranacher, Peter; Gijn, Rik Van. - : The Royal Society, 2020
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