The ASJP (Automated Similarity Judgment Program) described an automated, lexical similarity-based method for dating the world's language groups using 52 archaeological, epigraphic and historical calibration date points. The present paper describes a new automated dating method, based on phonotactic diversity. Unlike ASJP, our method does not require any information on the internal classification of a language group. Also, the method can use all the available word lists for a language and its dialects eschewing the debate on 'language' vs. 'dialect'. We further combine these dates and provide a new baseline which, to our knowledge, is the best one. We make a systematic comparison of our method, ASJP's dating procedure, and combined dates. We...
By comparing the languages of the world, we gain invaluable insights into human prehistory, predatin...
In a series of seminal articles, Swadesh (1951, 1955) and Lees (1953) developed the theories of lexi...
Change is coming to historical linguistics. Big, or at least “bigish data” (Gray and Watts 2017), ar...
This paper describes a computerized alternative to glottochronology for estimating elapsed time sinc...
This paper describes a computerized alternative to glottochronology for estimating elapsed time sinc...
This paper describes a computerized alternative to glottochronology for estimating elapsed time sinc...
This paper describes a computerized alternative to glottochronology for estimating elapsed time sinc...
In current practice, when dating the root of a Bayesian language phylogeny the researcher is require...
Copyright: © 2020 Rama, Wichmann. This is an open access article distributed under the terms of the ...
Computational analysis of historical and typological data has made great progress in the last fiftee...
The idea of measuring distance between languages seems to have its roots in the work of the French e...
The use of computational methods to assign absolute datings to language divergence is receiving rene...
Language is a key adaptation of our species, yet we do not know when it evolved. Here, we use data o...
This paper applies a computerized method related to that of glottochronology and addresses the quest...
Can language relatedness be established without cognate words? This question has remained unresolved...
By comparing the languages of the world, we gain invaluable insights into human prehistory, predatin...
In a series of seminal articles, Swadesh (1951, 1955) and Lees (1953) developed the theories of lexi...
Change is coming to historical linguistics. Big, or at least “bigish data” (Gray and Watts 2017), ar...
This paper describes a computerized alternative to glottochronology for estimating elapsed time sinc...
This paper describes a computerized alternative to glottochronology for estimating elapsed time sinc...
This paper describes a computerized alternative to glottochronology for estimating elapsed time sinc...
This paper describes a computerized alternative to glottochronology for estimating elapsed time sinc...
In current practice, when dating the root of a Bayesian language phylogeny the researcher is require...
Copyright: © 2020 Rama, Wichmann. This is an open access article distributed under the terms of the ...
Computational analysis of historical and typological data has made great progress in the last fiftee...
The idea of measuring distance between languages seems to have its roots in the work of the French e...
The use of computational methods to assign absolute datings to language divergence is receiving rene...
Language is a key adaptation of our species, yet we do not know when it evolved. Here, we use data o...
This paper applies a computerized method related to that of glottochronology and addresses the quest...
Can language relatedness be established without cognate words? This question has remained unresolved...
By comparing the languages of the world, we gain invaluable insights into human prehistory, predatin...
In a series of seminal articles, Swadesh (1951, 1955) and Lees (1953) developed the theories of lexi...
Change is coming to historical linguistics. Big, or at least “bigish data” (Gray and Watts 2017), ar...