Lachmannian Archetype Reconstruction for Ancient Manuscript Corpora

Abstract

Two goals are targeted by computer philology for ancient manuscript corpora: firstly, making an edition, that is roughly speaking one text version representing the whole corpus, which contains variety induced through copy errors and other processes and secondly, producing a stemma. A stemma is a graphbased visualization of the copy history with manuscripts as nodes and copy events as edges. Its root, the so-called archetype, is the supposed original text or urtext from which all subsequent copies are made. Our main contribution is to present one of the first computational approaches to automatic archetype reconstruction and to introduce the first textbased evaluation for automatically produced archetypes. We compare a philologically generated archetype with one generated by bioinformatic software.

Reconstructing Ancient Literary Texts from Noisy Manuscripts

“…Hoenen (2015) considers the problem of automated ur-text reconstruction for cases in which the manuscript collection is relatively complete and compares several methods of post-processing reconstructed stemmata to obtain (possibly eclectic) hypothesized ur-texts.…”

“…This challenge is common with bio-informatics (Pupko et al 2000, Yang 2007) and researchers have applied methods of bio-informatics to the reconstruction of document stemmata (Robinson and O'Hara 1996, Robinson et al 1998, Roos and Heikkila 2009, Roelli and Bachmann 2010, Andrews and Mace 2013. Hoenen (2015) considers the problem of automated ur-text reconstruction for cases in which the manuscript collection is relatively complete and compares several methods of post-processing reconstructed stemmata to obtain (possibly eclectic) hypothesized ur-texts.…”