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https://hdl.handle.net/1959.11/30112
Title: | Predicting intelligibility and perceived linguistic distance by means of the Levenshtein algorithm | Contributor(s): | Beijering, Karin (author); Gooskens, Charlotte (author); Heeringa, Wilbert (author) | Publication Date: | 2008-01 | Open Access: | Yes | DOI: | 10.1075/avt.25.05bei | Handle Link: | https://hdl.handle.net/1959.11/30112 | 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). | Publication Type: | Journal Article | Source of Publication: | Linguistics in the Netherlands, 25(1), p. 13-24 | Publisher: | John Benjamins Publishing Co | Place of Publication: | Netherlands | ISSN: | 1569-9919 0929-7332 |
Fields of Research (FoR) 2008: | 200408 Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics) 200402 Computational Linguistics 200406 Language in Time and Space (incl. Historical Linguistics, Dialectology) |
Socio-Economic Objective (SEO) 2008: | 970120 Expanding Knowledge in Language, Communication and Culture 950201 Communication Across Languages and Culture |
Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Humanities, Arts and Social Sciences |
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