Sammenlign metoder

	Computational Stemma Reconstruction	Variant Collation and CBGM
Fagområde	Religious Studies	Religious Studies
Familie	Machine learning	Process / pipeline
Oprindelsesår	2009	2004
Ophavsperson	Adapted from biological phylogenetics (Howe, Robinson, O'Hara); benchmarked by Roos & Heikkilä	Gerd Mink (Institut für neutestamentliche Textforschung, Münster)
Type	Algorithmic tree-inference pipeline for reconstructing manuscript genealogies	Coherence-based pipeline for genealogy in contaminated traditions
Oprindelig kilde	Roos, T., & Heikkilä, T. (2009). Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets. Literary and Linguistic Computing, 24(4), 417-433.	Mink, G. (2004). Problems of a highly contaminated tradition: the New Testament. Stemmata of variants as a source of a genealogy for witnesses. In P. van Reenen, A. den Hollander, & M. van Mulken (Eds.), Studies in Stemmatology II (pp. 13-85). Amsterdam: John Benjamins. ISBN: 9789027232229
Aliasser	Phylogenetic Stemmatology, Computer-Assisted Stemmatology, Algorithmic Stemma Building, Cladistic Textual Criticism	Coherence-Based Genealogical Method, CBGM, Apparatus Criticus Construction, Genealogical Coherence Analysis
Relaterede	4	4
Resumé	Computational stemma reconstruction borrows the mathematics of biological phylogenetics to rebuild the family tree of a manuscript tradition automatically from coded variant readings. Each surviving witness is treated as a taxon and each place of textual variation as a character with discrete states, exactly as a biologist treats species and the genes that vary among them. Tree-inference algorithms then search for the genealogy that best explains the observed pattern of variants, typically the tree requiring the fewest reading changes (maximum parsimony) or the most probable tree under an evolutionary model. Teemu Roos and Tuomas Heikkilä's 2009 study established how to evaluate these methods rigorously, building artificial manuscript traditions with a known true stemma and measuring how accurately each algorithm recovered it. The result is a scalable, reproducible complement to the hand-built Lachmannian stemma.	Variant collation and the Coherence-Based Genealogical Method (CBGM), developed by Gerd Mink at the Institute for New Testament Textual Research in Münster, address the central obstacle to editing the Greek New Testament: contamination. Because medieval scribes routinely copied from several exemplars at once, the New Testament tradition is too intermixed for a classical bifurcating stemma. Mink's solution, set out in his 2004 chapter in Studies in Stemmatology II, shifts the unit of analysis from whole manuscripts to individual variation passages. At each passage the editor decides which reading gave rise to which (a local stemma), and the method then aggregates these local decisions, using the coherence of agreement among witnesses, to infer the global flow of text and the relationships among witnesses. CBGM now underlies the Editio Critica Maior and the modern Nestle-Aland and UBS Greek New Testaments.