Beyond cognacy: historical relations between words and their implication for phylogenetic reconstruction
Beyond cognacy: historical relations between words and their implication for phylogenetic reconstruction
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超越同源性:词语之间的历史关系及其对系统发育重建的影响
DOI:
10.1093/jole/lzw006
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发表时间:
2016
影响因子:
2.6
通讯作者:
中科院分区:
文献类型:
--
作者:
This article investigates the terminology and the processes underlying the fundamental historical relations between words in linguistics (cognacy) and genes in biology (homology). The comparison between linguistics and biology shows that there are major inconsistencies in the analogies drawn between the two research fields and the models applied in phylogenetic reconstruction in linguistics. Cognacy between words is treated as a binary relation which is either present or not. Words, however, can exhibit different degrees of cognacy which go beyond the distinction between orthologous and paralogous genes in biology. The complex nature of cognacy has strong implications for the models used for phylogenetic reconstruction. Instead of modeling lexical evolution as a process of cognate gain and cognate loss, we need to go beyond the cognate relation and develop models which take thedegrees of cognacyinto account. This opts for the use of evolutionary models which handle multistate characters and allow to define potentially asymmetrical transition tendencies among the character states instead of time-reversible binary state models in phylogenetic approaches. The benefit of multistate models with asymmetric transition tendencies is demonstrated by testing how well different models of lexical change perform in semantic reconstruction on a lexicostatistical dataset of 23 Chinese dialects in a parsimony framework. The results show that the improved models largely outperform the popular gain–loss models. This suggests that improved models of lexical change may have strong consequences for phylogenetic approaches in linguistics.
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DOI:
--
发表时间:
2004
期刊:
影响因子:
--
作者:
Boris Paraschkewow
通讯作者:
Boris Paraschkewow
影响因子:
0.7
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Johann;Steven Moran
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Steven Moran
DOI:
--
发表时间:
2004
期刊:
影响因子:
--
作者:
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通讯作者:
Martin Haspelmath
DOI:
--
发表时间:
2013
期刊:
影响因子:
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作者:
G. Kroonen
通讯作者:
G. Kroonen
影响因子:
0.3
作者:
Jerry L. Norman;W. S. Coblin
通讯作者:
W. S. Coblin