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The Use of A Computer-Supported Learning Design to Support Oral Language Development among English Language Learners through the Design Process
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Communication efficiency of color naming across languages provides a new framework for the evolution of color terms.
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In: Cognition, vol 195 (2020)
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Abstract:
Languages vary in their number of color terms. A widely accepted theory proposes that languages evolve, acquiring color terms in a stereotyped sequence. This theory, by Berlin and Kay (BK), is supported by analyzing best exemplars ("focal colors") of basic color terms in the World Color Survey (WCS) of 110 languages. But the instructions of the WCS were complex and the color chips confounded hue and saturation, which likely impacted focal-color selection. In addition, it is now known that even so-called early-stage languages nonetheless have a complete representation of color distributed across the population. These facts undermine the BK theory. Here we revisit the evolution of color terms using original color-naming data obtained with simple instructions in Tsimane', an Amazonian culture that has limited contact with industrialized society. We also collected data in Bolivian-Spanish speakers and English speakers. We discovered that information theory analysis of color-naming data was not influenced by color-chip saturation, which motivated a new analysis of the WCS data. Embedded within a universal pattern in which warm colors (reds, oranges) are always communicated more efficiently than cool colors (blues, greens), as languages increase in overall communicative efficiency about color, some colors undergo greater increases in communication efficiency compared to others. Communication efficiency increases first for yellow, then brown, then purple. The present analyses and results provide a new framework for understanding the evolution of color terms: what varies among cultures is not whether colors are seen differently, but the extent to which color is useful.
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Keyword:
Color categories; Communication and Culture; Communication efficiency; Cross-cultural; Experimental Psychology; Information and Computing Sciences; Information theory; Language; Psychology and Cognitive Sciences; Universal
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URL: https://escholarship.org/uc/item/6js444p7
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Estimation of Nitrogen in Rice Crops from UAV-Captured Images
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In: ISSN: 2072-4292 ; Remote Sensing ; https://hal.inrae.fr/hal-03014837 ; Remote Sensing, MDPI, 2020, 12 (20), ⟨10.3390/rs12203396⟩ (2020)
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Should a neck dissection be performed on patients with cN0 adenoid cystic carcinoma? A REFCOR propensity score matching study
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In: ISSN: 0959-8049 ; European Journal of Cancer ; https://hal.archives-ouvertes.fr/hal-03222385 ; European Journal of Cancer, Elsevier, 2020, ⟨10.1016/j.ejca.2019.12.026⟩ (2020)
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On Extensions of Maximal Repeats in Compressed Strings
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Pape-Lange, Julian. - : LIPIcs - Leibniz International Proceedings in Informatics. 31st Annual Symposium on Combinatorial Pattern Matching (CPM 2020), 2020
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Additional file 2 of Do healthcare needs-based population segments predict outcomes among the elderly? Findings from a prospective cohort study in an urbanized low-income community ...
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Additional file 2 of Do healthcare needs-based population segments predict outcomes among the elderly? Findings from a prospective cohort study in an urbanized low-income community ...
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Learning language variations in news corpora through differential embeddings ...
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Vignetteninterview zur Erfassung des Sprachförderwissens pädagogischer Fachkräfte (VSW) ...
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Vignetteninterview zur Erfassung des Sprachförderwissens pädagogischer Fachkräfte (VSW)
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In: Mackowiak, Katja [Hrsg.]; Beckerle, Christine [Hrsg.]; Gentrup, Sarah [Hrsg.]; Titz, Cora [Hrsg.]: Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung. Bad Heilbrunn : Verlag Julius Klinkhardt 2020, S. 13-32 (2020)
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FEST1A^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release) ... : SOLID1A^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release) ...
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MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release ... : MY DGS – annotated. Public Corpus of German Sign Language, 3rd release ...
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VIERECK2^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release) ... : SQUARE2^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release) ...
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KNETEN1A^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release) ... : TO-KNEAD1A^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release) ...
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REINSCHIEBEN1^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release) ... : TO-INSERT1^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release) ...
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ANFASSEN1A^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release) ... : TO-TOUCH1A^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release) ...
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SCHNABEL1^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release) ... : BEAK1^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release) ...
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KREIS1A^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release) ... : CIRCLE1A^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release) ...
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DÜNN1A^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release) ... : THIN-OR-SKINNY1A^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release) ...
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