Orthographic measures of language distances between the official South African languages

Two methods for objectively measuring similarities and dissimilarities between the eleven official languages of South Africa are described. The first concerns the use of n-grams. The confusions between different languages in a text-based language identification system can be used to derive informati...

Full description

Bibliographic Details
Main Authors: P.N. Zulu, G. Botha, E. Barnard
Format: Article
Language:Afrikaans
Published: AOSIS 2008-07-01
Series:Literator
Subjects:
Online Access:https://literator.org.za/index.php/literator/article/view/106
id doaj-bc0d23ab50fe42508fc7541b58aa0df6
record_format Article
spelling doaj-bc0d23ab50fe42508fc7541b58aa0df62020-11-24T23:15:15ZafrAOSISLiterator0258-22792219-82372008-07-0129118520410.4102/lit.v29i1.10689Orthographic measures of language distances between the official South African languagesP.N. Zulu0G. Botha1E. Barnard2Human Language Technologies Research Group, CSIR & Department of Electrical and Computer Engineering, University of PretoriaHuman Language Technologies Research Group, CSIR & Department of Electrical and Computer Engineering, University of PretoriaHuman Language Technologies Research Group, CSIR & Department of Electrical and Computer Engineering, University of PretoriaTwo methods for objectively measuring similarities and dissimilarities between the eleven official languages of South Africa are described. The first concerns the use of n-grams. The confusions between different languages in a text-based language identification system can be used to derive information on the relationships between the languages. Our classifier calculates n-gram statistics from text documents and then uses these statistics as features in classification. We show that the classification results of a validation test can be used as a similarity measure of the relationship between languages. Using the similarity measures, we were able to represent the relationships graphically. We also apply the Levenshtein distance measure to the orthographic word transcriptions from the eleven South African languages under investigation. Hierarchical clustering of the distances between the different languages shows the relationships between the languages in terms of regional groupings and closeness. Both multidimensional scaling and dendrogram analysis reveal results similar to well-known language groupings, and also suggest a finer level of detail on these relationships.https://literator.org.za/index.php/literator/article/view/106ClusteringLanguage DistancesLanguage IdentificationLevenshtein DistanceN-Gram
collection DOAJ
language Afrikaans
format Article
sources DOAJ
author P.N. Zulu
G. Botha
E. Barnard
spellingShingle P.N. Zulu
G. Botha
E. Barnard
Orthographic measures of language distances between the official South African languages
Literator
Clustering
Language Distances
Language Identification
Levenshtein Distance
N-Gram
author_facet P.N. Zulu
G. Botha
E. Barnard
author_sort P.N. Zulu
title Orthographic measures of language distances between the official South African languages
title_short Orthographic measures of language distances between the official South African languages
title_full Orthographic measures of language distances between the official South African languages
title_fullStr Orthographic measures of language distances between the official South African languages
title_full_unstemmed Orthographic measures of language distances between the official South African languages
title_sort orthographic measures of language distances between the official south african languages
publisher AOSIS
series Literator
issn 0258-2279
2219-8237
publishDate 2008-07-01
description Two methods for objectively measuring similarities and dissimilarities between the eleven official languages of South Africa are described. The first concerns the use of n-grams. The confusions between different languages in a text-based language identification system can be used to derive information on the relationships between the languages. Our classifier calculates n-gram statistics from text documents and then uses these statistics as features in classification. We show that the classification results of a validation test can be used as a similarity measure of the relationship between languages. Using the similarity measures, we were able to represent the relationships graphically. We also apply the Levenshtein distance measure to the orthographic word transcriptions from the eleven South African languages under investigation. Hierarchical clustering of the distances between the different languages shows the relationships between the languages in terms of regional groupings and closeness. Both multidimensional scaling and dendrogram analysis reveal results similar to well-known language groupings, and also suggest a finer level of detail on these relationships.
topic Clustering
Language Distances
Language Identification
Levenshtein Distance
N-Gram
url https://literator.org.za/index.php/literator/article/view/106
work_keys_str_mv AT pnzulu orthographicmeasuresoflanguagedistancesbetweentheofficialsouthafricanlanguages
AT gbotha orthographicmeasuresoflanguagedistancesbetweentheofficialsouthafricanlanguages
AT ebarnard orthographicmeasuresoflanguagedistancesbetweentheofficialsouthafricanlanguages
_version_ 1725591441406689280