A Word Stemming Algorithm for Hausa Language
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract: Hausa, a highly inflected language, needs a worthy stemming approach for efficient informationretrieval (IR). However, there is a limited or unavailable study to stemming in the language. Stemming refers tothe systematic way of reducing a word to its base or root form. It is a crucial aspect in the field of naturallanguage processing (NLP) such as text summarization and machine translation. As such, this studyinspirationally presents an automatic word stemming system for Hausa language with a view to contributing tothe field of electronic text processing, as well as NLP, in general. The proposed method is a modification ofPorter’s algorithm to fit Hausa morphological rules. The system has an accuracy of 73.8% for implementationwith 2573 words extracted from four different articles from Hausa Leadership newspaper. If immenselyimproved over time (employing more exceptional cases in future work), it would inspire the development of more tools for the language. Hence, the language would rapidly adopt the advancement in technology.
Authors and Affiliations
Muazzam Bashir , Azilawati Binti Rozaimee , Wan Malini Binti Wan Isa
Keywords
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