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Algorithmic advancements in Computational Historical Linguistics ...
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Phylogenetic Typology
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In: Front Psychol (2021)
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Abstract:
In this article we propose a novel method to estimate the frequency distribution of linguistic variables while controlling for statistical non-independence due to shared ancestry. Unlike previous approaches, our technique uses all available data, from language families large and small as well as from isolates, while controlling for different degrees of relatedness on a continuous scale estimated from the data. Our approach involves three steps: First, distributions of phylogenies are inferred from lexical data. Second, these phylogenies are used as part of a statistical model to estimate transition rates between parameter states. Finally, the long-term equilibrium of the resulting Markov process is computed. As a case study, we investigate a series of potential word-order correlations across the languages of the world.
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Keyword:
Psychology
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URL: http://www.ncbi.nlm.nih.gov/pubmed/34349702 https://doi.org/10.3389/fpsyg.2021.682132 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326798/
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Algorithmic advancements in computational historical linguistics
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Algorithmic advancements in Computational Historical Linguistics
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NorthEuraLex: a wide-coverage lexical database of Northern Eurasia
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NorthEuraLex : a wide-coverage lexical database of Northern Eurasia
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Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics? ...
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Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics? ...
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Are automatic methods for cognate detection good enough for phylogenetic reconstruction in historical linguistics?
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Fast and unsupervised methods for multilingual cognate clustering ...
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Proceedings of the 6th Conference on Quantitative Investigations in Theoretical Linguistics
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