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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 60 1 Chances and Challenges for Quantitative Approaches in Chinese Historical Phonology ... List, Johann-Mattis. - : Humanities Commons, 2022 BASE Show details 2 Computational Approaches to Historical Language Comparison ... List, Johann-Mattis. - : Humanities Commons, 2022 BASE Show details 3 Computer-Assisted Language Comparison ... List, Johann-Mattis. - : Humanities Commons, 2021 BASE Show details 4 Evolutionary Aspects of Language Change ... List, Johann-Mattis. - : Humanities Commons, 2021 BASE Show details 5 The multiple benefits of making predictions in linguistics ... Bodt, Timotheus A.; List, Johann-Mattis. - : Humanities Commons, 2020 BASE Show details 6 Computer-Assisted Language Comparison: State of the Art ... Bodt, Timotheus A.; Hill, Nathan W.; List, Johann-Mattis. - : Humanities Commons, 2020 BASE Show details 7 Towards a sustainable handling of interlinear-glossed text in language documentation ... Forkel, Robert; List, Johann-Mattis. - : Humanities Commons, 2020 BASE Show details 8 Computer-Assisted Language Comparison: State of the Art Wu, Mei-Shin; Hill, Nathan W.; List, Johann-Mattis... In: Journal of Open Humanities Data; Vol 6 (2020); 2 ; 2059-481X (2020) BASE Show details 9 EvoBib: A Bibliographic Database and Quote Collection for Historical Linguistics ... List, Johann-Mattis. - : Zenodo, 2020 BASE Show details 10 EvoBib: A Bibliographic Database and Quote Collection for Historical Linguistics ... List, Johann-Mattis. - : Zenodo, 2020 BASE Show details 11 EvoBib: A Bibliographic Database and Quote Collection for Historical Linguistics ... List, Johann-Mattis. - : Zenodo, 2020 BASE Show details 12 EvoBib: A Bibliographic Database and Quote Collection for Historical Linguistics ... List, Johann-Mattis. - : Zenodo, 2020 BASE Show details 13 Developing an annotation framework for word formation processes in comparative linguistics ... List, Johann-Mattis; Schweikhard, Nathanael Erik. - : Humanities Commons, 2020 BASE Show details 14 Modeling word trees in historical linguistics: Preliminary ideas for the reconciliation of word trees and language trees ... List, Johann-Mattis; Schweikhard, Nathanael Erik. - : Humanities Commons, 2020 BASE Show details 15 Linguistic Diversity: Empirical Perspectives ... List, Johann-Mattis. - : Humanities Commons, 2020 BASE Show details 16 First steps towards the detection of contact layers in Bangime: A multi-disciplinary, computer-assisted approach ... Babiker, Hiba; Hantgan, Abbie; List, Johann-Mattis. - : Humanities Commons, 2020 BASE Show details 17 A digital, retro-standardized edition of the Tableaux phonétiques des patois Suisses romands (TPPSR) ... Forkel, Robert; Geisler, Hans; List, Johann-Mattis. - : Humanities Commons, 2020 BASE Show details 18 Benefits of reflex prediction. A case study of Western Kho-Bwa ... Bodt, Tomotheus A.; List, Johann-Mattis. - : Humanities Commons, 2020 BASE Show details 19 Towards a sustainable handling of inter-linear-glossed text in language documentation ... List, Johann-Mattis; Sims, Nathaniel A.. - : Humanities Commons, 2019 BASE Show details 20 An automated framework for fast cognate detection and Bayesian phylogenetic inference in computational historical linguistics ... List, Johann-Mattis; Rama, Taraka. - : Humanities Commons, 2019 Abstract: We present a fully automated workflow for phylogenetic reconstruction on large datasets, consisting of two novel methods, one for fast detection of cognates and one for fast Bayesian phylogenetic inference. Our results show that the methods take less than a few minutes to process language families that have so far required large amounts of time and computational power. Moreover, the cognates and the trees inferred from the method are quite close, both to gold standard cognate judgments and to expert language family trees. Given its speed and ease of application, our framework is specifically useful for the exploration of very large datasets in historical linguistics. ... Keyword: Computational linguistics; Historical linguistics URL: https://dx.doi.org/10.17613/dqb5-j340 https://hcommons.org/deposits/item/hc:24605/ BASE Hide details Page: 1 2 3

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