Text Encoding Initiative (TEI)

The Text Encoding Initiative (TEI) is an encoding language intended to support detailed encoding of complex documents and is used extensively by a number of different Digital Humanities (DH) projects. As an encoding language, it is used to describe both the physical characteristics of a text (line breaks, pagination, special characters, etc.), classify subjects, tag people, places, and events, and to add commentary.

Examples

• Map of Early Modern London
• Orlando

Further Resources

• Crompton, et al. (2021), “Mapping and Vetting: Converting TEI to Linked Data” [PowerPoint]
• Crompton (2022) “What the Computer Doesn’t Know: Representing Primary Source Documents in TEI” [PowerPoint]
• Text Encoding Initiative (2022) “Projects Using the TEI”