Abstract
This article identifies problems and proposes solutions for encoding verse texts in SGML. It is organized around a series of distinctions and oppositions which the TEI Work Group on Verse regard as significant. These include examination of the formal properties which distinguish verse from prose, followed by discussions of (1) text-searching vs analysis, (2) markup vs algorithms, (3) markup vs transcription, (4) uniformity vs choice, (5) specificity vs generality, (6) metrical convention vs linguistic realization, (7) structural vs non-structural divisions and (8) fidelity vs interpretation. Using German and English verse forms as illustrations, the advantages and disadvantages of pre-line tagging, in-line tagging and feature structure analysis are discussed. We suggest that metrical and rhyme conventions always be tagged at the highest possible level of text divisions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 99-111 |
| Number of pages | 13 |
| Journal | Computers and the Humanities |
| Volume | 29 |
| Issue number | 2 |
| DOIs | |
| State | Published - Mar 1995 |
Keywords
- SGML
- TEI
- poetry
- tagging
- text encoding
- verse
ASJC Scopus subject areas
- General Social Sciences