Phylogenetic Methods and the Prehistory of LanguagesPeter Forster, Colin Renfrew McDonald Institute for Archaeological Research, 2006 - 198 Seiten Evolutionary ('phylogenetic') trees were first used to infer lost histories nearly two centuries ago by manuscript scholars reconstructing original texts. Today, computer methods are enabling phylogenetic trees to transform genetics, historical linguistics and even the archaeological study of artefact shapes and styles. But which phylogenetic methods are best suited to retracing the evolution of languages? And which types of language data are most informative about deep prehistory? In this book, leading specialists engage with these key questions. Essential reading for linguists, geneticists and archaeologists, these studies demonstrate how phylogenetic tools are illuminating previously intractable questions about language prehistory. This innovative volume arose from a conference of linguists, geneticists and archaeologists held at Cambridge in 2004. |
Im Buch
Ergebnisse 1-3 von 51
Seite 85
... root ) . Our proof relies only upon the assumption that the root state is known and is not homoplastic . In binary phonological characters , the root state is 0 and indicates absence of the sound change , and all transitions are from ...
... root ) . Our proof relies only upon the assumption that the root state is known and is not homoplastic . In binary phonological characters , the root state is 0 and indicates absence of the sound change , and all transitions are from ...
Seite 86
... root labelled by h * , and M " ( t ) de- note all markings of the subtree in which the root is labelled by a non - homoplastic state ( i.e. something other than h * ) . We let DM " ( t ) denote the markings of t which have the root ...
... root labelled by h * , and M " ( t ) de- note all markings of the subtree in which the root is labelled by a non - homoplastic state ( i.e. something other than h * ) . We let DM " ( t ) denote the markings of t which have the root ...
Seite 169
... root - time estimates using synthetic data simulated on a tree like that in Figure 14.3 with true root time 6900 years ago . b ÎR 0 6720 250 0.1 6925 225 0.2 6282 184 rate of word loss at branching events associated for example with the ...
... root - time estimates using synthetic data simulated on a tree like that in Figure 14.3 with true root time 6900 years ago . b ÎR 0 6720 250 0.1 6925 225 0.2 6282 184 rate of word loss at branching events associated for example with the ...
Inhalt
ead25mole bio cam ac | 6 |
Malagasy Language as a Guide to Understanding Malagasy History | 11 |
Rapid Radiation Borrowing and Dialect Continua in the Bantu Languages | 19 |
Urheberrecht | |
18 weitere Abschnitte werden nicht angezeigt.
Andere Ausgaben - Alle anzeigen
Häufige Begriffe und Wortgruppen
Africa Albanian algorithms Anatolian Archaeological assumptions Bantu languages Bantu trees Bastin Bayesian binary Biology borrowing branch lengths Cambridge Chapter clade cladistics classification coded cognate cognate class cognate sets comparative computational correspondences data set data-cognate dating dialects distribution divergence Dyen East Bantu edge English estimates evidence evolutionary example Figure Forster genetic Germanic glottochronology Gray & Atkinson Greek guages Historical Linguistics Hittite Holden homoplasy Indo-European languages Indo-Iranian inference innovations islands language data language evolution language family lexical evolution lexical replacement lexicostatistics likelihood Malagasy Markov matrix maximum parsimony McDonald Institute McMahon meaning Molecular morphological Mycenaean Neighbor-Net Nichols nodes Pagel parameters phonetic phonological characters phylogenetic methods phylogenetic trees phylogeny posterior probability probability problem Proto-Indo-European rates of lexical reconstruction relationships Renfrew reticulations root semantic slot similar split splits graph statistical subgroups Swadesh Swadesh list telic tion Tocharian verbs vocabulary Warnow word lists zone