The Arabic language presents researchers and developers of natural language processing
(NLP) applications for Arabic text and speech with serious challenges. The purpose of this …

The rule-based approach has successfully been used in developing many natural language
processing systems. Systems that use rule-based transformations are based on a core of …

Named Entity Recognition (NER) is an essential task for many natural language processing
systems, which makes use of various linguistic resources. NER becomes more complicated …

NLP resources play a crucial role in the building of many NLP applications. The importance
of these resources depends not only on their size and coverage but also on the richness and …

In the era of information overloading, information retrieval systems are vital applications.
Many researchers try to enhance the search results by introducing new methods. Unlike the …

Problem statement: Any Arabic to English Machine Translation (MT) system should be
capable of dealing with word order which Arabic exhibits. This poses a significant challenge …

The interlingual approach to machine translation (MT) is used successfully in multilingual
translation. It aims to achieve the translation task in two independent steps. First, meanings …

Diacritic restoration (also known as diacritization or vowelization) is the process of inserting
the correct diacritical markings into a text. Modern Arabic is typically written without diacritics …

Morphological re-inflection generation is one of the most challenging tasks in the natural
language processing (NLP) domain, especially with morphologically rich, low-resource …

Morphological analysis is the process of dividing a word into its constituent morphemes and
morphological generation is the reverse process, ie, building a word from its constituents …