Maurits Luke, Forkel Robert, Kaiping Gereon A, Atkinson Quentin D
School of Psychology, University of Auckland, Auckland, New Zealand.
Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Jena, Germany.
PLoS One. 2017 Aug 10;12(8):e0180908. doi: 10.1371/journal.pone.0180908. eCollection 2017.
We present a new open source software tool called BEASTling, designed to simplify the preparation of Bayesian phylogenetic analyses of linguistic data using the BEAST 2 platform. BEASTling transforms comparatively short and human-readable configuration files into the XML files used by BEAST to specify analyses. By taking advantage of Creative Commons-licensed data from the Glottolog language catalog, BEASTling allows the user to conveniently filter datasets using names for recognised language families, to impose monophyly constraints so that inferred language trees are backward compatible with Glottolog classifications, or to assign geographic location data to languages for phylogeographic analyses. Support for the emerging cross-linguistic linked data format (CLDF) permits easy incorporation of data published in cross-linguistic linked databases into analyses. BEASTling is intended to make the power of Bayesian analysis more accessible to historical linguists without strong programming backgrounds, in the hopes of encouraging communication and collaboration between those developing computational models of language evolution (who are typically not linguists) and relevant domain experts.
我们展示了一个名为BEASTling的新开源软件工具,其设计目的是简化使用BEAST 2平台对语言数据进行贝叶斯系统发育分析的准备工作。BEASTling将相对简短且人类可读的配置文件转换为BEAST用于指定分析的XML文件。通过利用来自Glottolog语言目录的知识共享许可数据,BEASTling允许用户使用公认语系的名称方便地过滤数据集,施加单系约束以使推断的语言树与Glottolog分类向后兼容,或为语言分配地理位置数据以进行系统地理学分析。对新兴的跨语言链接数据格式(CLDF)的支持允许轻松地将跨语言链接数据库中发布的数据纳入分析。BEASTling旨在使贝叶斯分析的强大功能更易于没有强大编程背景的历史语言学家使用,希望鼓励开发语言进化计算模型的人员(通常不是语言学家)与相关领域专家之间的交流与合作。