Annotations & analyses of reciprocal reduplication in NGT (corpus & elicited data)

This item contains annotations and analyses that are a part of the PhD project “Morphological reduplication in Sign Language of the Netherlands: A typological and theoretical perspective” (part of the research programme PhDs in the Humanities with project number PGW19.003, funded by the Dutch Research Council (NWO); PhD student: Cindy van Boven; supervisors: Dr. Roland Pfau, Dr. Silke Hamann). The topic of this specific study is reciprocal reduplication in Sign Language of the Netherlands (NGT). The annotations were made for two types of video data: a corpus data set and an elicited data set. The Excel file 'reciprocal reduplication - annotations' contains the annotations made for both data sets. A .csv version of the same file is also available. The PDF file 'README - reciprocal reduplication - annotations explained' contains a guide through the Excel/.csv files, explaining more about the methods, the data sets, and the annotation values. The statistical analyses of both data sets can be found in the file 'statistical analyses reciprocals.Rmd'. An HTML-version of this file is also available. The analyses were conducted in R (R Development Core Team. 2008. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org).本数据集包含的注释与分析隶属于荷兰人文社科博士研究项目"荷兰手语形态重叠现象：类型学与理论视角"，该项目由荷兰研究委员会（NWO, Dutch Research Council）资助，纳入荷兰人文博士研究计划，项目编号为PGW19.003；项目执行博士生为辛迪·范·博文（Cindy van Boven），指导教师为罗兰德·普法夫博士（Dr. Roland Pfau）与西尔克·哈曼博士（Dr. Silke Hamann）。本项具体研究的主题为荷兰手语（Sign Language of the Netherlands，简称NGT）中的相互重叠（reciprocal reduplication）现象。本次注释针对两类视频数据集展开：语料库数据集与诱导采集数据集。Excel文件"相互重叠现象注释表"（原文件名：reciprocal reduplication - annotations）收录了两类数据集的全部注释内容，同时提供了该文件的.csv格式版本。PDF文件"相互重叠现象注释表使用说明"（原文件名：README - reciprocal reduplication - annotations explained）为Excel及.csv文件的配套指南，详细阐释了研究方法、数据集详情以及注释取值规则。两类数据集的统计分析内容可在文件"相互重叠现象统计分析脚本"（原文件名：statistical analyses reciprocals.Rmd）中查看，同时提供了该文件的HTML格式版本。本次统计分析基于R语言完成，具体引用信息为：R开发核心团队. 2008. R：统计计算语言与环境. 维也纳：R统计计算基金会. http://www.R-project.org。