Centre for Languages and Literature, Lund University, Lund, Sweden.
Department of Comparative Linguistics, University of Zurich, Zürich, Switzerland.
PLoS One. 2018 Oct 11;13(10):e0205313. doi: 10.1371/journal.pone.0205313. eCollection 2018.
Feature stability, time and tempo of change, and the role of genealogy versus areality in creating linguistic diversity are important issues in current computational research on linguistic typology. This paper presents a database initiative, DiACL Typology, which aims to provide a resource for addressing these questions with specific of the extended Indo-European language area of Eurasia, the region with the best documented linguistic history. The database is pre-prepared for statistical and phylogenetic analyses and contains both linguistic typological data from languages spanning over four millennia, and linguistic metadata concerning geographic location, time period, and reliability of sources. The typological data has been organized according to a hierarchical model of increasing granularity in order to create datasets that are complete and representative.
特征稳定性、变化的时间和节奏，以及在创造语言多样性方面的谱系与现实的作用，是当前计算语言类型学研究中的重要问题。本文提出了一个数据库计划，即 DiaCL Typology，旨在为解决这些问题提供资源，特别是针对欧亚大陆的扩展印欧语区域，这是语言历史记录最完善的地区。该数据库已预先为统计和系统发育分析做好准备，包含跨越四千多年的语言的语言类型学数据，以及关于地理位置、时间段和来源可靠性的语言元数据。该类型学数据已按照一个层次模型进行组织，以创建完整和具有代表性的数据集。
