•  
  •  
 

Authors

Jian Zhang

Abstract

Over the past half century, the study of foreign literature has developed from aesthetic study and formal study to cultural and interdisciplinary study. In this age of rapid advancements in artificial intelligence and big data, foreign literature research is once again facing transformations and re-orientations. The age calls for cross-disciplinary integration between literature and science, to supplement humanistic thinking with scientific methods. Quantitative research is an opportunity as well as a challenge which AI and big data have brought to the study of foreign literature. This article will trace the history of quantitative research in literature, examine various cases of this research paradigm, and hope to demonstrate that quantitative methods have powerful functions in the study of literary history, stylistics, authorship attribution, influence, genre, and textual visualization. It is also hoped that this new research paradigm will provide new inspirations for foreign literature studies in China and precipitate innovation and breakthrough.

Keywords

digital humanities, quantitative methods, cross-disciplinary, new productivity

First Page

32

Last Page

41

Share

COinS