Lexical, Syntactic, and Semantic Distances Across Five Languages

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

This project accompanies the preprint “Lexical, Syntactic, and Semantic Distances Across Five Languages: A Reproducible Framework Integrating Python NLP and R Statistical Modeling.” It contains supporting materials related to the construction and analysis of a multilingual corpus comprising English, Chinese, Spanish, French, and German Wikipedia articles. The project focuses on quantitative cross-linguistic comparison using lexical, syntactic, and semantic features extracted through modern natural language processing techniques and statistical modeling. Materials may include preprints, datasets, documentation, and code used in the analysis.