We study phylogenetic signal present in syntactic information by considering the syntactic structures data from Longobardi (2017b), Collins (2010), Ceolin et al. (2020) and Koopman (2011). Focusing first on the general Markov models, we explore how well the the syntactic structures data conform to the hypothesis required by these models. We do this by comparing derived phylogenetic trees against trees agreed on by the linguistics community. We then interpret the methods of Ceolin et al. (2020) as an infinite sites evolutionary model and compare the consistency of the data with this alternative. The ideas and methods discussed in the present paper are more generally applicable than to the specific setting of syntactic structures, and can be used in other contexts, when analyzing consistency of data with against hypothesized evolutionary models.
翻译:我们通过考虑Longobardi(2017b)、Collins(2010)、Ceelin等人(202020)和Koopman(2011年)的合成结构数据,研究合成信息中存在的植物遗传信号。我们首先侧重于一般的Markov模型,探索合成结构数据与这些模型所要求的假设的相符程度。我们通过比较经衍生的植物树与语言界商定的树木之间的对比来这样做。我们随后将Ceolin等人(202020年)的方法解释为一个无限的进化模型,并比较数据与这一替代数据的一致性。本文件讨论的观点和方法比合成结构的具体设置更为普遍适用,在分析数据与假设的进化模型的一致性时,可以在其他情况下使用。