Evidence map›Paper›PMID 26403857›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Support for linguistic macrofamilies from weighted sequence alignment.

Gerhard Jäger

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. The vocal tract as a time machine: inferences about past speech and language from the anatomy of the speech organs.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  4. At the boundaries of syntactic prehistory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  5. Article
  6. Article
  7. Formal Syntax and Deep History.Frontiers in psychology · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Sound-meaning association biases evidenced across thousands of languages.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Review
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Gerhard JägerDepartment of Linguistics, University of Tübingen, 72074 Tübingen, Germany gerhard.jaeger@uni-tuebingen.de.

Funding

European Research Council 324246
6 · The paper itself

Abstract

Computational phylogenetics is in the process of revolutionizing historical linguistics. Recent applications have shed new light on controversial issues, such as the location and time depth of language families and the dynamics of their spread. So far, these approaches have been limited to single-language families because they rely on a large body of expert cognacy judgments or grammatical classifications, which is currently unavailable for most language families. The present study pursues a different approach. Starting from raw phonetic transcription of core vocabulary items from very diverse languages, it applies weighted string alignment to track both phonetic and lexical change. Applied to a collection of ∼1,000 Eurasian languages and dialects, this method, combined with phylogenetic inference, leads to a classification in excellent agreement with established findings of historical linguistics. Furthermore, it provides strong statistical support for several putative macrofamilies contested in current historical linguistics. In particular, there is a solid signal for the Nostratic/Eurasiatic macrofamily.

Indexed as

cultural evolutionhistorical linguisticslinguistic macrofamiliesmass lexical comparisonphylogenetic methods

Identifiers

PMID26403857
PMCPMC4611657

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.