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Distributions of cognates in Europe as based on Levenshtein distance

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SCHEPENS, JOB, DIJKSTRA, TON, GROOTJEN, FRANC·2012·Bilingualism: Language and Cognition

Abstract

Researchers on bilingual processing can benefit from computational tools developed in artificial intelligence. We show that a normalized Levenshtein distance function can efficiently and reliably simulate bilingual orthographic similarity ratings. Orthographic similarity distributions of cognates and non-cognates were identified across pairs of six European languages: English, German, French, Spanish, Italian, and Dutch. Semantic equivalence was determined using the conceptual structure of a translation database. By using a similarity threshold, large numbers of cognates could be selected that nearly completely included the stimulus materials of experimental studies. The identified numbers of form-similar and identical cognates correlated highly with branch lengths of phylogenetic language family trees, supporting the usefulness of the new measure for cross-language comparison. The normalized Levenshtein distance function can be considered as a new formal model of cross-language orthographic similarity.

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Research works printed but not linked: 28

  1. Heeringa W. (2004). Measuring dialect pronunciation differences using Levenshtein distance. Ph.D. dissertation, University of Groningen.
  2. 10.1080/01690960444000007 · DOI · Paper page
  3. 10.1017/S1366728903001068 · DOI · Paper page
  4. Levenshtein, 1966, Binary codes capable of correcting deletions, insertions and reversals, Soviet Physics Doklady, 10, 707
  5. 10.1002/j.1538-7305.1950.tb00463.x · DOI · Paper page
  6. Coltheart, 1977, Attention and performance VI, 535
  7. 10.1017/S0954394504163023 · doi:10.1017/s0954394504163023
  8. 10.1016/j.actpsy.2008.03.010 · DOI · Paper page
  9. Dijkstra, 2005, Handbook of bilingualism: Psycholinguistic approaches, 178
  10. Duyck, 2007, Visual word recognition by bilinguals in a sentence context: Evidence for nonselective access, Journal of Experimental Psychology: Learning, Memory and Cognition, 33, 663
  11. 10.1016/j.jml.2009.12.003 · DOI · Paper page
  12. 10.3115/1641976.1641983 · DOI
  13. Ceram, 1966, Enge Schlucht und Schwarzer Berg: Entdeckung des Hethiter-Reiches
  14. 10.3758/BF03193467 · DOI · Paper page
  15. 10.1017/S1366728909990393 · DOI
  16. 10.3758/PBR.15.5.971 · DOI · Paper page
  17. 10.3758/BF03335062 · DOI · Paper page
  18. 10.3758/BF03196335 · DOI · Paper page
  19. 10.1006/jmla.1999.2654 · DOI · Paper page
  20. 10.1038/nature06176 · DOI · Paper page
  21. 10.1080/713755752 · DOI
  22. 10.1038/nature02029 · DOI · Paper page
  23. 10.3115/1706543.1706551 · doi:10.3115/1706543.1706551
  24. 10.1016/j.jml.2006.03.004 · DOI · Paper page
  25. Hrozný, 1915, Die Lösung des hethitischen Problems, Mitteilungen der Deutschen Orient Gesellschaft, 56, 17
  26. 10.3758/BF03195472 · DOI
  27. Costa, 2000, The cognate facilitation effect: Implications for models of lexical access, Journal of Experimental Psychology: Learning, Memory and Cognition, 26, 1283
  28. 10.1017/S1366728901000438 · DOI

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Metadata

Authors
SCHEPENS, J., DIJKSTRA, T., & GROOTJEN, F.
Venue
Bilingualism: Language and Cognition
Published
2011-08-11
Volume
15
Issue
1
Pages
157-166
ISSN
  • 1366-7289 (ISSN-L)
  • 1469-1841
OpenAlex
W2153599831
Cited by
178
References
2
FWCI
6.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Distributions of cognates in Europe as based on Levenshtein distance. https://app.cochat.ai/papers/10.1017/s1366728910000623
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SCHEPENS, J., DIJKSTRA, T., & GROOTJEN, F. (2012). Distributions of cognates in Europe as based on Levenshtein distance. Bilingualism: Language and Cognition. https://doi.org/10.1017/s1366728910000623

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