The objective of this work is to develop a POS tagger for the Arabic language. This analyzer
uses a very rich tag set that gives syntactic information about proclitic attached to words. This …

The diacritical marks of Arabic language are characters other than letters and are in the
majority of cases absent from Arab writings. This paper presents a hybrid system for …

Hybrid approaches for automatic vowelization of Arabic texts are presented in this article.
The process is made up of two modules. In the first one, a morphological analysis of the text …

Stemming is a process of reducing inflected words to their stem or root from a generally
written word form. This process is used in many text mining application as a feature selection …

This work falls within the framework of the Natural Language Processing. Its objective is to
assess the level of ambiguity caused by the absence of diacritical marks in Arabic texts …

The absence of short vowels in Arabic texts is the source of some difficulties in several
automatic processing systems of Arabic language. Several developed hybrid systems of …

Traitement Automatique du Langage Naturel (TALN). Ainsi, nous présentons la nouvelle
version de l'analyseur morphosyntaxique «AlKhalil Morpho Sys». Notre travail dans cet outil …

This paper presents a comprehensive Tag set as a fundamental component for developing
an automated Word Class/Part-of-Speech (PoS) tagging system for the Arabic language …

With the expanding growth of Arabic electronic data on the web, extracting information,
which is actually one of the major challenges of the question-answering, is essentially used …

the sequential association rule mining is an important technique to extract an interesting
knowledge from database. In this article we will use this technique to extract Arabic …