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First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach
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In: ISSN: 2732-5121 ; Open Research Europe ; https://hal.archives-ouvertes.fr/hal-03637688 ; Open Research Europe, F1000 Research Limited on behalf of the European Commission, 2022, 2, pp.10. ⟨10.12688/openreseurope.14339.1⟩ (2022)
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A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns ...
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Chances and Challenges for Quantitative Approaches in Chinese Historical Phonology ...
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Computational Approaches to Historical Language Comparison ...
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Modeling word trees in historical linguistics. Preliminary ideas for the reconciliation of word trees and language trees ...
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First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach
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In: ISSN: 2732-5121 ; Open Research Europe ; https://hal.archives-ouvertes.fr/hal-03637688 ; Open Research Europe, F1000 Research Limited on behalf of the European Commission, 2022, 2, pp.10. ⟨10.12688/openreseurope.14339.1⟩ (2022)
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Computer-assisted approaches to historical language comparison ...
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Correcting a Bias in TIGER Rates Resulting from High Amounts of Invariant and Singleton Cognate Sets ...
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Prediction experiment for missing words in Kho-Bwa language data ...
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Abstract:
This is an experiment on prediction of words that have so far not been observed in field work. The basic idea is: with an existing dataset of cognate words, we can use the correspondence pattern detection algorithm by @List2018PREPRINTa to infer for those words in a given language that do not show a reflex in a given cognate set, how they would sound if they were cognate. Since Tim Bodt, who did field work on the Kho-Bwa languages, in fact dit not elicit all words during his initial field work on eight varieties of Kho-Bwa, we can now use the existing dataset to predict how potential cognates would have sounded, and if Tim Bodt goes back to field work in November, he can try to elicit those words and see how well the prediction algorithm works and how well prediction works in historical linguistics in general. ...
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URL: https://dx.doi.org/10.17605/osf.io/evcbp https://osf.io/evcbp/
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CLDF Dataset accompanying Greenhill et al.'s "Origin of Uto-Aztecan" from 2021 ...
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CLDF Dataset accompanying Greenhill et al.'s "Origin of Uto-Aztecan" from 2021 ...
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Annotating Cognates in Phylogenetic Studies of South-East Asian Languages ...
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Computer-assisted approaches to historical language comparison
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