Skip to main content

Encode Texts

LEAF supports the editing of XML documents and aligns with the Text Encoding Initiative (TEI) standards for encoding scholarly content. Scholars and students who want to annotate machine-readable structured textual data can use LEAF-Writer, LEAF’s online semantic editor, to encode those texts, focusing on the meaning within the text rather than the XML code that underlies the encoding. With LEAF-Writer, editorial teams can collaborate on single texts or corpora of documents, preparing them for data mining or publication. XML files encoded in LEAF-Writer are stored as content objects, and are attached to bibliographic metadata that is searchable within a project.

As part of the encoding process, LEAF generates RDF statements as ‘triples’ from entity annotations, producing data that is ready to be linked to the Semantic Web.

When it comes to publishing the encoded text, LEAF offers a simple web transformation that maintains document structure and links to encoded entities. For editors interested in presenting more complex contextual analysis from their encoded documents, the Dynamic Table of Contexts tool offers a pioneering interactive reading environment.

LEAF-Writer is also available as a standalone web-based tool (LEAF-Writer Commons) that uses GitHub repositories for saving and sharing documents.