Arabic has a very rich morphology characterized by a combination of templatic and
affixational morphemes, complex morphological rules, and a rich feature system. This …

Morphologically rich and complex languages such as Arabic, pose a major challenge to
neural machine translation (NMT) due to the large number of rare words and the inability of …

In spite of its robust syntax, semantic cohesion, and less ambiguity, lemma level analysis
and generation does not yet focused in Arabic NLP literatures. In the current research, we …

The last few years have witnessed an increasing interest in hybridizing surface-based
statistical approaches and rule-based symbolic approaches to machine translation (MT) …

Machine Translation denotes the translation of a text written in one language into another
language performed by a computer program. In times of internet and globalisation, there has …

As the interest on Arabic Language continue to increase worldwide for several factors
including political, technological, social and cultural. The significant increase in the Arabic …

Arabic is a morphologically rich language, and Arabic texts abound of complex word forms
built by concatenation of multiple subparts, corresponding for instance to prepositions …

Arabic is a highly inflected language and a morpho-syntactically complex language with
many differences compared to several languages that are heavily studied. It may thus …

Ce chapitre est consacré à la définition et à la présentation de la langue arabe moderne
standard (MSA) et de ses spécificités. Dans la section 1.1, nous avons commencé par une …

In this article, we present a new application that evaluated the performance of a number of
the Arabic root extraction methods. The implemented methods in this system are selected …