Digital humanities scholarship has long acknowledged the abundant theoretical advantages of text encoding; more questionable is whether the advantages can, in practice and in general, outweigh the costs of the usually labor-intensive task of encoding. Markup of literary texts has not yet been undertaken on a scale large enough to realize many of its potential applications and benefits. If we can reduce the human labor required to encode texts, libraries and their users can take greater advantage of the hosts of texts being produced by various mass digitization projects, and can focus more attention on implementing tools that use underlying encodings. How far can automation take an encoding effort? And what implications might that have for libraries and their users? Compelled by such questions, this paper explores the viability of semi-automated text encodingunpublishednot peer reviewe
