Global-scale phylogenetic linguistic inference from lexical resources

@inproceedings{Jger2018GlobalscalePL,
  title={Global-scale phylogenetic linguistic inference from lexical resources},
  author={Gerhard J{\"a}ger},
  booktitle={Scientific data},
  year={2018}
}
Automatic phylogenetic inference plays an increasingly important role in computational historical linguistics. Most pertinent work is currently based on expert cognate judgments. This limits the scope of this approach to a small number of well-studied language families. We used machine learning techniques to compile data suitable for phylogenetic inference from the ASJP database, a collection of almost 7,000 phonetically transcribed word lists over 40 concepts, covering two thirds of the extant… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 46 references

The ASJP Database (version 17

  • S. Wichmann, E. W. Holman, C. H. Brown
  • 2016
Highly Influential
4 Excerpts

Open Science Framework https://doi.org/10.17605/OSF.IO/CUFV7 (2018)

  • G. Jäger
  • 2018
2 Excerpts

A Central Asian language survey : Collecting data , measuring relatedness and detecting loans

  • P. Mennecier, J. Nerbonne, E. Heyer, F. Manni
  • Language Dynamics and Change
  • 2016

Automated reconstruction of ancient languages using probabilistic models of sound change

  • M. Pagel, Q. D. Atkinson, A. S. Calude, A. Meade
  • Proceedings of the National Academy of Sciences
  • 2013

Languages with longer words have more lexical change

  • L. InBorin
  • Approaches to Measuring Linguistic Differences
  • 2013

Phylogenetic inference from word lists using weighted alignment with empirically determined weights

  • G. Jäger
  • Language Dynamics and Change
  • 2013

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