CLS INFRA

Resources

• ExploreCor - Using Programmable Corpora in Computational Literary Studies

  EN

  This three-day training school organised by the CLS INFRA project focused on dynamic collections of literary texts manipulated programmatically. Learners will learn to find, evaluate, and select corpora using tools like CLSCor and DraCor, and gain skills in Python, Jupyter Notebooks, API querying, Linked Open Data, and Digital Literary Network Analysis. The training addresses reproducibility using Docker, promoting transparent, replicable research in Computational Literary Studies.

• Digging for Gold - Knowledge Extraction from Text

  EN

  This three-day international training school in Knowledge Extraction from Text from the CLS Infra project offered a crash course in how to "Dig for Gold" in a corpus of texts. From Stylometry to Natural Language Processing, learners will be able to follow along using 'plug and play' tools, while also getting a brief introduction to Python and R.

• CLS-INFRA Training School on Data and Annotation

  EN

  This event, organised and provided by the CLS INFRA project, offers an introductory course to textual data annotation. The workshop introduces learners to how to edit, annotate, and query a text corpus without a single line of code, how to structure texts with the XML-TEI, and how to run an NLP tool to add linguistic information.

• The CLS INFRA Survey of Methods in Computational Literary Studies

  EN

  This resource from the CLS INFRA project offers an introduction to several research areas and issues that are prominent withinComputational Literary Studies (CLS), including authorship attribution, literary history, literary genre, gender in literature, and canonicity/prestige, as well as to several key methodological concerns that are of importance when performing research in CLS.