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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/5000/1/FH02-FIK-15-04221.pdf http://eprints.unisza.edu.my/5000/ |
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| Summary: | 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. |
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