An Improved Arabic Light Stemmer - Osama Mohamed Elrajubi
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Stemming as part of Natural Language Processing is very useful in many applications such as information retrieval, data encryption, text compression, text classification and categorization. Arabic stemming becomes mainly important for Arabic Information Retrieval (IR), for the reason that IR has to determine an appropriate form of words as index. Arabic is highly inflected language, therefore there is a nee ... Täielik kirjeldus
Kirjeldus
Stemming as part of Natural Language Processing is very useful in many applications such as information retrieval, data encryption, text compression, text classification and categorization. Arabic stemming becomes mainly important for Arabic Information Retrieval (IR), for the reason that IR has to determine an appropriate form of words as index. Arabic is highly inflected language, therefore there is a need for an efficient stemming algorithm for the retrieval and indexing of Arabic documents.
Lisateave
| Autor | Osama Mohamed Elrajubi |
|---|---|
| Kirjastaja | LAP LAMBERT Academic Publishing |
| Väljalaskeaasta | 2017 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783330068407 |