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An algorithm for identifying cognates between related languages

Published:02 July 1984Publication History

ABSTRACT

The algorithm takes as only input a list of words, preferably but not necessarily in phonemic transcription, in any two putatively related languages, and sorts it into decreasing order of probable cognation. The processing of a 250-item bilingual list takes about five seconds of CPU time on a DEC KL1091, and requires 56 pages of core memory. The algorithm is given no information whatsoever about the phonemic transcription used, and even though cognate identification is carried out on the basis of a context-free one-for-one matching of individual characters, its cognation decisions are bettered by a trained linguist using more information only in cases of wordlists sharing less than 40% cognates and involving complex, multiple sound correspondences.

References

  1. Abramowitz, Milton and Irene A. Stegun. Handbook of Mathematical Functions. National Bureau of Standards, 1970. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Suhotin, B. V. Eksperimental'noe vydelenie klassov bukv s pomoshchju elektronnoj vychislitel'noj mashiny. Problemy strukturnoj lingvistiki. Moscow 1962.Google ScholarGoogle Scholar
  1. An algorithm for identifying cognates between related languages

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    • Published in

      cover image DL Hosted proceedings
      ACL '84/COLING '84: Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
      July 1984
      577 pages

      Publisher

      Association for Computational Linguistics

      United States

      Publication History

      • Published: 2 July 1984

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      • Article

      Acceptance Rates

      Overall Acceptance Rate85of443submissions,19%

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