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Setswana Verb Analyzer and Generator
Gabofetswe Alafang Malema, Nkwebi Motlogelwa, Boago Okgetheng, Opelo Mogotlhwane
Pages - 1 - 11     |    Revised - 31-07-2016     |    Published - 31-08-2016
Volume - 7   Issue - 1    |    Publication Date - August 2016  Table of Contents
MORE INFORMATION
KEYWORDS
Setswana, Setswana Verb Morphology, Morphological Analyzer and Generator.
ABSTRACT
Morphological analysis is one of the first steps in natural language studies. It is a basic component in a number of natural language processing systems. There are a few attempts made with regard to the development of Setswana morphology analyzer and generator. However, these attempts are not fully developed to produce a potential multipurpose Setswana morphological analyzer and generator. This paper presents a rule-based Setswana verb morphological analysis and generation. Morphological rules are supported by a dictionary of root words. Results show that Setswana verbs could mostly be analyzed using morphological rules and the rules could also be used to generate words. The analyzer gives 87% performance rate. The rules fail when multiple words have the same intermediate word and homographs. The generator shows that Setswana verbs are very productive with an average of 89 words per root word. However, ambiguity in word generation rules leads to formation of words that are meaningless or are not used.
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Dr. Gabofetswe Alafang Malema
University of Botswana - Botswana
malemag@mopipi.ub.bw
Mr. Nkwebi Motlogelwa
University of Botswana - Botswana
Mr. Boago Okgetheng
University of Botswana - Botswana
Mr. Opelo Mogotlhwane
University of Botswana - Botswana