A linguistic method into stemming of Arabic for data compression

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088862" target="_blank" >RIV/61989100:27240/13:86088862 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-971/poster2.pdf" target="_blank" >http://ceur-ws.org/Vol-971/poster2.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A linguistic method into stemming of Arabic for data compression
Original language description
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, andfinally, 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.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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