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Children’s Learning of a Semantics-Free Artificial Grammar with Center Embedding
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In: BIOLINGUISTICS; Vol. 14 (2020); 21-48 ; 1450-3417 (2020)
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The integration hypothesis of human language evolution and the nature of contemporary languages
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In: Frontiers (2014)
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Abstract:
How human language arose is a mystery in the evolution of Homo sapiens. Miyagawa et al. (2013) put forward a proposal, which we will call the Integration Hypothesis of human language evolution, that holds that human language is composed of two components, E for expressive, and L for lexical. Each component has an antecedent in nature: E as found, for example, in birdsong, and L in, for example, the alarm calls of monkeys. E and L integrated uniquely in humans to give rise to language. A challenge to the Integration Hypothesis is that while these non-human systems are finite-state in nature, human language is known to require characterization by a non-finite state grammar. Our claim is that E and L, taken separately, are in fact finite-state; when a grammatical process crosses the boundary between E and L, it gives rise to the non-finite state character of human language. We provide empirical evidence for the Integration Hypothesis by showing that certain processes found in contemporary languages that have been characterized as non-finite state in nature can in fact be shown to be finite-state. We also speculate on how human language actually arose in evolution through the lens of the Integration Hypothesis. ; Japan. Ministry of Education, Culture, Sports, Science and Technology (MEXT Grants-in-Aid for the Scientific Research (No. 23240033)) ; Japan. Research Development Corporation. Exploratory Research for Advanced Technology ; Japan. Science and Technology Agency ; Massachusetts Institute of Technology (Internal funding)
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URL: http://hdl.handle.net/1721.1/87733
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The Non-Hierarchical Nature of the Chomsky Hierarchy-Driven Artificial-Grammar Learning
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In: BIOLINGUISTICS; Vol. 8 (2014); 163-180 ; 1450-3417 (2014)
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The integration hypothesis of human language evolution and the nature of contemporary languages
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Sound to Language: Different Cortical Processing for First and Second Languages in Elementary School Children as Revealed by a Large-Scale Study Using fNIRS
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Sound to Language: Different Cortical Processing for First and Second Languages in Elementary School Children as Revealed by a Large-Scale Study Using fNIRS
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Sound to Language: Different Cortical Processing for First and Second Languages in Elementary School Children as Revealed by a Large-Scale Study Using fNIRS
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