
The article aims to show a practical procedure that can be used in the visualization of language data. The paper freely follows our previous articles about the visualization of language data in language pedagogy. We demonstrate how to retrieve language data – in our case from corpora, how to edit data in a spreadsheet program, and then in the last step, how to visualize it on the example of Legal Chinese and partly Legal German. The Javascript library Vis.js via Pyvis is chosen for the visualization of the language data.
Chinese, corpus, P1-1091, Philology. Linguistics, visualization, Javascript library Vis.js, Python
Chinese, corpus, P1-1091, Philology. Linguistics, visualization, Javascript library Vis.js, Python
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
