Predicting intelligibility and perceived linguistic distance by means of the Levenshtein algorithm

Karin Beijering · Charlotte Gooskens · Wilbert Jan Heeringa

74 citations0/0 files storedLinguistics in the Netherlands

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Phonetics and Phonology Research Linguistics and language evolution Linguistic Variation and Morphology

Abstract

In this article, we investigate the predictive value of so-called Levenshtein distances for both intelligibility scores and perceived linguistic distances. Additionally, we compare two measuring methods, namely normalised and non-normalised Levenshtein distances. The Levenshtein algorithm is a string edit distance measure that quantifies the distance between the pronunciations of corresponding words in different dialects or closely related languages. It calculates the minimal costs required to change a string of segments into another by means of insertions, deletions or substitutions. Kessler (1995) introduced the algorithm for measuring distances between Irish Gaelic dialects. Since then it has been applied successfully to Dutch dialects (Heeringa 2004, 213–278), Sardinian dialects (Bolognesi & Heeringa 2002) and German dialects (Nerbonne & Siedle 2005).

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References

1995Computational dialectology in Irish Gaelic 2004Perceptive evaluation of Levenshtein dialect distance measurements using Norwegian dialect data 1987The International Phonetic Association 2006Evaluation of string distance algorithms for dialectology 2007Mutual intelligibility and similarity of Chinese dialects 2005Dialektklassifikation auf der Grundlage Aggregierter Ausspracheunterschiede

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