CLS INFRA D3.4 Position papers and pilot studies on emerging trends in CLS

Computational Literary Studies is an area of research which, like its disciplinary context

of the Digital Humanities, has a very high affinity with innovation and experimentation

and is usually quick to adopt and adapt recent developments in areas of research like

Natural Language Processing and Machine Learning. As a consequence, it is a field

that is highly dynamic and it is important to monitor not just well-established best

practices, tools and requirements (as we have done in previous work within CLS

INFRA, notably in Schöch et al. 2023), but also to investigate, discuss and make visible

emerging trends in the field which are likely to influence the field, its practices and

needs, in the near future.

Documenting three such emerging trends has been the objective of this part of our work

within CLS INFRA. We have done this in several different ways: Using both the survey

article format to provide overviews of current trends, as well as pilot studies as well as

short papers providing background, context and explanations for these pilot studies.