Abstract
This paper proposes the building of a stemmer for the Arabic language. This stemmer is largely based on pattern matching and pattern strength techniques. Stemmers are algorithms to extract root from a word by removing its affixes. Stemming has been applied for large number of applications, such as: indexing, information retrieval systems, and web search engines. This paper will also proposes the application of stemming as a pre-processing stage in a dialogue system (DS). The proposed stemmer was compared with three other well known stemmers and achieved favourable accuracy.
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Hijjawi, M., Bandar, Z., Crockett, K., Mclean, D. (2011). An Application of Pattern Matching Stemmer in Arabic Dialogue System. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2011. Lecture Notes in Computer Science(), vol 6682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22000-5_5
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DOI: https://doi.org/10.1007/978-3-642-22000-5_5
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