Data for the PhD thesis "Modeling Lexical Fields for Translation: a Corpus-Based Study of Armenian, German, and English Culinary Verbs"

Dataset

DOI

This dataset contains in high resolution all graphical visualizations of data analysis provided in my doctoral dissertation. The graphs are organized according to chapters and subchapters and titeled respectively. Additionally, this dataset provides all dataframes (German, English, and Armenian) in XLSX format of the manual semantic annotation based on which the graphs are generated. Among presented graphical visualizations are (Multiple) Correspondence Analysis (MCA vs. CA), Mosaic-Plots, Conditional Infererence Trees (CIT), and Context-Conditional Correlations Graphs (CCCG).

Identifier
DOI	https://doi.org/10.11588/DATA/3MPL7E
Related Identifier	IsSupplementTo https://doi.org/10.11588/heidok.00036999
Metadata Access	https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/DATA/3MPL7E

Provenance
Creator	Dallakyan, Meri
Publisher	heiDATA
Contributor	Dallakyan, Meri
Publication Year	2025
Rights	CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess	true
Contact	Dallakyan, Meri (Institute for Translation and Interpreting, Heidelberg)

Representation
Resource Type	Dataset
Format	application/zip
Size	167898; 1203076; 2699455; 3353340; 1130199; 125927; 5882160; 436611; 166634; 4471905; 617108; 334871; 22647800; 412972
Version	1.0
Discipline	Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Humanities; Linguistics