Paper Improving Rule Based Stemmers to Solve Some Special Cases of Arabic Language

Comparative Evaluation of Arabic Language Morphological Analysers and Stemmers

Arabic morphological analysers and stemming algorithms have become a popular area of research. Many computational linguists have designed and developed algorithms to solve the problem of morphology and stemming. Each researcher proposed his own gold standard, testing methodology and accuracy measurements to test and compute the accuracy of his algorithm. Therefore, we cannot make comparisons be...

Using Fuzzifiers to Solve Word Sense Ambiguation in Arabic Language

Text mining techniques confront many challenges when dealing with the Arabic language including lexical disambiguation because Arabic is a highly inflectional and derivational language, most of the Arabic texts are devoid of diacritics especially Modern Standard Arabic (MSA), thus, it is a must to depend on the ambiguous word context under study. Two fuzzy logic classifiers have been built and ...

DCU@FIRE-2012: Rule-based Stemmers for Bengali and Hindi

For the participation of Dublin City University (DCU) in the FIRE-2012 Morpheme Extraction Task (MET), we investigated a rule based stemming approaches for Bengali and Hindi IR. The MET task itself is an attempt to obtain a fair and direct comparison between various stemming approaches measured by comparing the retrieval effectiveness obtained by each on the same dataset. Linguistic knowledge w...

extensions of some polynomial inequalities to the polar derivative

توسیع تعدادی از نامساوی های چند جمله ای در مشتق قطبی

Rule Merging in a Rule-Based Arabic Stemmer