ArticlePloS one2013
Phonotactic diversity predicts the time depth of the world's language families.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Scaling Laws for Phonotactic Complexity in Spoken English Language Data.Language and speech · 2021Article
- A Systematic Review on the Possible Relationship Between Bilingualism, Cognitive Decline, and the Onset of Dementia.Behavioral sciences (Basel, Switzerland) · 2019Review
- Does the Bilingual Advantage in Cognitive Control Exist and If So, What Are Its Modulating Factors? A Systematic Review.Behavioral sciences (Basel, Switzerland) · 2019Review
- Rate of language evolution is affected by population size.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
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Authors and funding
1 author.
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Abstract
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 predict time depths for world's language families and sub-families using this new baseline. Finally, we explain our results in the model of language change given by Nettle.
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