A word stemming algorithm for Hausa language
Hausa, a highly inflected language, needs a worthy stemming approach for efficient information retrieval (IR). However, there is a limited or unavailable study to stemming in the language. Stemming refers to the systematic way of reducing a word to its base or root form. It is a crucial aspect in...
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my-unisza-ir.50002022-01-31T08:14:03Z http://eprints.unisza.edu.my/5000/ A word stemming algorithm for Hausa language Muazzam, Bashir Azilawati, Rozaimee Wan Malini, Wan Isa QA Mathematics QA75 Electronic computers. Computer science Hausa, a highly inflected language, needs a worthy stemming approach for efficient information retrieval (IR). However, there is a limited or unavailable study to stemming in the language. Stemming refers to the systematic way of reducing a word to its base or root form. It is a crucial aspect in the field of natural language processing (NLP) such as text summarization and machine translation. As such, this study inspirationally presents an automatic word stemming system for Hausa language with a view to contributing to the field of electronic text processing, as well as NLP, in general. The proposed method is a modification of Porter’s algorithm to fit Hausa morphological rules. The system has an accuracy of 73.8% for implementation with 2573 words extracted from four different articles from Hausa Leadership newspaper. If immensely improved 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. 2015-05 Article PeerReviewed text en http://eprints.unisza.edu.my/5000/1/FH02-FIK-15-04221.pdf Muazzam, Bashir and Azilawati, Rozaimee and Wan Malini, Wan Isa (2015) A word stemming algorithm for Hausa language. Journal of Computer Engineering, 17 (3). pp. 25-31. ISSN 2278-8727 |
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QA Mathematics QA75 Electronic computers. Computer science Muazzam, Bashir Azilawati, Rozaimee Wan Malini, Wan Isa A word stemming algorithm for Hausa language |
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Hausa, a highly inflected language, needs a worthy stemming approach for efficient information
retrieval (IR). However, there is a limited or unavailable study to stemming in the language. Stemming refers to
the systematic way of reducing a word to its base or root form. It is a crucial aspect in the field of natural
language processing (NLP) such as text summarization and machine translation. As such, this study
inspirationally presents an automatic word stemming system for Hausa language with a view to contributing to
the field of electronic text processing, as well as NLP, in general. The proposed method is a modification of
Porter’s algorithm to fit Hausa morphological rules. The system has an accuracy of 73.8% for implementation
with 2573 words extracted from four different articles from Hausa Leadership newspaper. If immensely
improved 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. |
format |
Article |
author |
Muazzam, Bashir Azilawati, Rozaimee Wan Malini, Wan Isa |
author_facet |
Muazzam, Bashir Azilawati, Rozaimee Wan Malini, Wan Isa |
author_sort |
Muazzam, Bashir |
title |
A word stemming algorithm for Hausa language |
title_short |
A word stemming algorithm for Hausa language |
title_full |
A word stemming algorithm for Hausa language |
title_fullStr |
A word stemming algorithm for Hausa language |
title_full_unstemmed |
A word stemming algorithm for Hausa language |
title_sort |
word stemming algorithm for hausa language |
publishDate |
2015 |
url |
http://eprints.unisza.edu.my/5000/1/FH02-FIK-15-04221.pdf http://eprints.unisza.edu.my/5000/ |
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