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... Mehr ...

Verfasser: C.M.J. van Boven
Dokumenttyp: Dataset
Erscheinungsdatum: 2023
Schlagwörter: Humanities / Language / Communication and Culture / Sign Language of the Netherlands / Reduplication / Reciprocal marking / Annotations / Statistical analysis / Corpus data / Elicited data / Elicitation task
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-27216089
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.21942/uva.24525256.v1

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).