
Detecting semantic change is crucial for understanding the linguistic evolution and cultural context of Neo-Latin texts. Word embeddings, which model word meanings based on contextual usage in large corpora, offer powerful tools for detecting meaning and conceptual shifts. This paper discusses how these methods can deepen our understanding of Neo-Latin’s evolving role in European history through case studies on semantic change across literary genres and historical periods.
| 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 |
