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Arabic is a language with a particularly large vocabulary rich in words with synonymous shades of meaning. Modern Standard Arabic, which is used in formal writings, is the ancient Arabic language incorporated with loanwords derived from foreign languages. Different synonyms and loanwords tend to be used in different writings. Indeed, the Arabic composition style tends to vary throughout the Arab countries...
This paper presents and evaluates the use of the maximum mutual information criterion to textural feature selection for satellite image classification. Our approach is based on a recent work of Mutual Information Feature Selector Algorithm. The effectiveness of the proposed approach is evaluated on real data. In fact, the textural features are extracted using the cooccurrence matrix from two forest...
One of the main issues faced by cross language information retrieval (CLIR) is out of vocabulary (OOV) words. Those are words not found in the dictionary. Bilingual dictionaries in general do not cover most proper nouns, which are usually primary keys in a query. As they are spelling variants of each other in most languages, using a string matching technique against the target database index is the...
Proper nouns are usually primary keys in a query. Their correct translation might be necessary to maintain a good retrieval performance in a cross language information retrieval (CLIR) system. However, dictionaries only include the most commonly used proper nouns, like major countries and capitals. As they are spelling variants of each other in most languages, using an approximate string matching...
The ciphering system presented in this paper is an extension of our ciphering system, which is already published (F. Omary, et al., 2005). Indeed, being given a plaintext, coded into binary and cut out in blocks of fixed size, we determine the lists of the positions of the various blocks constituting this plaintext and instead of applying the evolutionary ciphering algorithm to the lists of the positions...
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