Arabic Words Stemming Approach Using Arabic Wordnet
نویسندگان
چکیده
منابع مشابه
Corpus-Based Arabic Stemming Using N-Grams
In languages with high word inflation such as Arabic, stemming improves text retrieval performance by reducing words variants. We propose a change in the corpus-based stemming approach proposed by Xu and Croft for English and Spanish languages in order to stem Arabic words. We generate the conflation classes by clustering 3-gram representations of the words found in only 10% of the data in the ...
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Arabic is the fourth most widely spoken language in the world, and is characterised by a high rate of inflection. To cater for this, most Arabic information retrieval systems incorporate a stemming stage. Most existing Arabic stemmers are derived from English equivalents; however, unlike English, most affixes in Arabic are difficult to discriminate from the core word. Removing incorrectly ident...
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Text processing is a vital step in the information retrieval process, text mining, and natural language processing. It includes several stages, such as normalization, stop word removal, and stemming. Stemming is the process of reducing the lexicon to its root. Due to the different structures and rules in languages, the task of stemming is language-dependent. This research introduces a new stemm...
متن کاملThe Use of Arabic WordNet in Arabic Information Retrieval
Research and experimentation using Arabic WordNet in the field of information retrieval are relatively new. It is limited compared to the research that has been done using Princeton WordNet. This work attempts to study the impact of Arabic WordNet on the performance of Arabic information retrieval. The authors extend Lucene with Arabic WordNet to expand user’s queries. The major contribution of...
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This paper introduces a recently initiated project that focuses on building a lexical resource for Modern Standard Arabic based on the widely used Princeton WordNet for English (Fellbaum, 1998). Our aim is to develop a linguistic resource with a deep formal semantic foundation in order to capture the richness of Arabic as described in Elkateb (2005). Arabic WordNet is being constructed followin...
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ژورنال
عنوان ژورنال: International Journal of Data Mining & Knowledge Management Process
سال: 2014
ISSN: 2231-007X,2230-9608
DOI: 10.5121/ijdkp.2014.4601