ARLSTem2 Arabic Light Stemmer The details about the implementation of this algorithm are described in: K. Abainia and H. Rebbani, Comparing the Effectiveness of the Improved ARLSTem Algorithm with Existing Arabic Light Stemmers, International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS'19), Skikda, Algeria, December 15-16, 2019. ARLSTem2 is an Arabic light stemmer based on removing the affixes from the words (i.e. prefixes, suffixes and infixes). It is an improvement of the previous Arabic light stemmer (ARLSTem). The new version was compared to the original algorithm and several existing Arabic light stemmers, where the results showed that the new version considerably improves the under-stemming errors that are common to light stemmers. Both ARLSTem and ARLSTem2 can be run online and do not use any dictionary.
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Return a stemmed Arabic word after removing affixes. This an improved version of the previous algorithm, which reduces under-stemming errors. Typically used in Arabic search engine, information retrieval and NLP. |