Arabic morphological analysis is one of the essential stages in Arabic Natural Language Processing. In this paper we present an approach for Arabic morphological analysis. This approach is based on Arabic morphological automaton (AMAUT). The proposed technique uses a morphological database realized using XMODEL language. Arabic morphology represents a special type of morphological systems becau...

1. Some Extended Arabic characters are typographical variants of characters already adequately covered by the corresponding Basic Arabic Characters; 2. 0626 ARABIC LETTER YEH WITH HAMZA ABOVE is actually a representation form of two nominal characters: 06D5 ARABIC LETTER AE followed by 0621 ARABIC LETTER HAMZA; 3. The graphemes for the aspirated phonemes of Urdu should be added; 06BE ARABIC LET...

In this paper, a novel for Query Translation and Expansion for enabling English/Arabic CLIR for both normal and OCR-Degraded Arabic Text model has been proposed, implemented, and tested. First, an English/Arabic Word Collocations Dictionary has been established plus reproducing three English/Arabic Single Words Dictionaries. Second, a modern Arabic Corpus has been built. Third, a model for simu...

Arabic script character recognition is challenging task due to complexity of the script and huge number of ligatures. We present a method for the development of multilingual Arabic script OCR (Optical Character Recognition) and lexicon reduction for Arabic Script and its derivative languages. The objective of the proposed method is to overcome the large dataset Urdu and similar scripts by using...

Tunisian Arabic is a dialect of the Arabic language spoken in Tunisia. Tunisian Arabic is an under-resourced language. It has neither a standard orthography nor large collections of written text and dictionaries. Actually, there is no strict separation between Modern Standard Arabic, the official language of the government, media and education, and Tunisian Arabic; the two exist on a continuum ...

This work is about connotative aspects of words, often not carried over in translation, which depend on specific cultures. A cross-language computational study is presented, based on exploitation of similarity techniques on large corpora of news documents in English, Arabic, and Hebrew. In particular, focus of the exploration is on specific terms expressing emotion, negotiation and conflict.

Morphological analysis is an essential stage in language engineering applications. For the Arabic language, this stage is not easy to develop because the Arabic language has some particularities such as the phenomena of agglutination and a lot of morphological ambiguity phenomenon. These reasons make the design of the morphological analyzer for Arabic somewhat difficult and require lots of othe...

Text classification is the task of assigning a document to one or more of pre-defined categories based on its contents. This paper presents the results of classifying Arabic language documents by applying the KNN classifier, one time by using N-Gram namely unigrams and bigrams in documents indexing, and another time by using traditional single terms indexing method (bag of words) which supposes...

Automatic versus interactive analysis for the massive vowelization, tagging and lemmatization of Arabic Fathi Debili, Zied Ben Tahar, LLACAN, INALCO, CNRS, France and Emna Souissi, ESSTT, Tunisia How could we produce annotated texts massively with optimal efficiency, reproducibility and cost? Instead of correcting the output of the automatic analysis with dedicated tools, as suggested currently...

This paper presents a novel approach for Arabic root generation and lexicon development. The approach provides three algorithms; in the first algorithm Arabic word root is generated using the concept of permutation and combination, the root generator algorithm generates roots by applying permutations to the Arabic alphabetic letters. Then, the second algorithm is used for developing difference ...