A Linguistic Method into Stemming of Arabic for Data Compression

Creating good stemming rules for the Arabic language comes from the importance of Arabic language as the sixth most used language in the word. Stemming is very important in information retrieval, data mining and language processing. With Arabic having complex morphology and grammatical properties, this poses a challenge for researchers in this field. In this paper, we try to use an online morphological parser to distinguish parts of speech (POS), and then set some extracting rules to produce stems, and finally, mismatch these stems with an electronic dictionary. As a pilot study for this method, in this paper we deal with three POS: nouns, verbs and adjectives.