On detecting borrowing: Distance-based and character-based approaches

James W. Minett, William Shi Yuan Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)

Abstract

Two computational methods for detecting borrowing among a family of genetically related languages are proposed. One method, based on the detection of branches with negative length in lexicostatistical trees, is shown to work poorly. As we demonstrate, this method is similar to another recently proposed method for detecting borrowing based on skewing in lexicostatistical data. A second method, using character-based classification techniques in common use in the classification of biological taxa, is shown to be more effective. This method allows borrowed characters and the languages among which the borrowing may have taken place to be identified—in some cases, the most likely direction of the borrowing can also be specified.
Original languageEnglish
Pages (from-to)259-288
Number of pages30
JournalDiachronica
Volume20
Issue number2
DOIs
Publication statusPublished - 1 Jan 2003
Externally publishedYes

Keywords

  • Chinese
  • Cladistics
  • Comparative linguistics and reconstruction
  • Lexicostatistics
  • Loanwords

ASJC Scopus subject areas

  • Philosophy
  • Linguistics and Language

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