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LE NOM PROPRE HISTORIQUE COMME RESSORT ARGUMENTATIF DANS LES DISCOURS ÉPIDICTIQUES SUR L'ART ; O nome próprio histórico como meio argumentativo nos discursos epidíticos sobre a arte
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In: https://hal-univ-paris3.archives-ouvertes.fr/hal-03242578 ; 2021 (2021)
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Le nom du souverain dans les parlers « kotoko » du Cameroun
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In: ISSN: 2429-2230 ; Linguistique et Langues Africaines ; https://halshs.archives-ouvertes.fr/halshs-03473327 ; Linguistique et Langues Africaines, LLACAN, 2021, pp.43-62 (2021)
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Old Catalan Morphosyntax: developing an annotated corpus
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In: EISSN: 2059-481X ; Journal of Open Humanities Data ; https://hal.archives-ouvertes.fr/hal-03617737 ; Journal of Open Humanities Data, Ubiquity Press, 2021, 7, pp.30. ⟨10.5334/johd.54⟩ (2021)
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Curiously the same: swapping tools between linguistics and evolutionary biology
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In: Biology and Philosophy ; https://link.springer.com/article/10.1007/s10539-017-9594-y (2021)
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Prescriptivism in action ... : Evaluating the production and reception of reviewer prescriptivism in Late Modern English ...
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Correcting a Bias in TIGER Rates Resulting from High Amounts of Invariant and Singleton Cognate Sets ...
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Abstract:
In a recent issue of the Journal of Language Evolution, Syrjänen et al. (2021) investigate the suitability of computing Cummins and McInerney’s (2011) TIGER rates for estimating the tree-likeness of linguistic datasets compiled for phylogenetic reconstruction. The authors test the TIGER rates on a diverse sample of simulated data, which by and large confirms the usefulness of TIGER rates as an analytic tool for investigating linguistic data, but they test them only on one real-world dataset of Uralic languages which turns out to behave quite differently from the simulated data. When testing the TIGER rates on additional datasets, I detected a bias in the computation which leads to an unnatural increase in those cases where a dataset contains many characters with invariant or singleton states. To overcome this problem, I suggest a modified variant of TIGER rates, which is provided in the form of a freely available Python package. Testing the modified TIGER scores on the simulated data of Syrjänen et al. shows ...
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Keyword:
Historical linguistics
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URL: https://hcommons.org/deposits/item/hc:43565/ https://dx.doi.org/10.17613/0n1n-3352
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Review of Mailhammer & Vennemann (2019): The Carthaginian North: Semitic Influence on Early Germanic: A Linguistic and Cultural Study ...
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Crosslinguistic study of disjunctive particles -- availability of exclusive interpretations ...
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Using Dimensionality Reduction and Tag Parameter Spaces to Study Historical Change in a Large Document Archive ...
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Review: A Comparative Grammar of the Early Germanic Languages (2018), by R.D. Fulk ...
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WS5: Cognitive mechanisms: Loan word accommodation biases in Dutch and Middle English: a question of processing cost? ...
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(an:a)-lyzer: An interactive visualization of Google Books Ngrams with R and Shiny: Exploring a(n) historical increase in onset strength in a(n) huge database ...
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Analysing the Semantic Prosody of Timeliness in Letters to the Editor of “The Times” on the Armenian Question from 1914 to 1926 ...
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Automatic Loanword Identification Using Tree Reconciliation ...
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