This study aims to investigate identical word pairs, couples that have a phonemic correspondence, and the sound shift in phonological differences, variation, addition, lenition. The uses empirical data collected from 2 Yemeni college students who studied Indonesia. Two hundred seven of Swadesh's basic vocabulary was used as standard procedure for collecting data. results indicated relationship ...

abd al - salam al-’ujayli is a syrian physician, literary man and novelist. by his specific style and personal method in expression and description, al-’ujayli is a link between leading authors of thirty and forty decades of twenty century on one hand, and innovators of fifty and sixty decades on the other hand. his literary works are a combination of abilities of these two generations. his sty...

In this paper, we describe COLABA, a large effort to create resources and processing tools for Dialectal Arabic Blogs. We describe the objectives of the project, the process flow and the interaction between the different components. We briefly describe the manual annotation effort and the resources created. Finally, we sketch how these resources and tools are put together to create DIRA, a term...

Modern Standard Arabic (MSA) is the formal language in most Arabic countries. Arabic Dialects (AD) or daily language differs from MSA especially in social media communication. However, most Arabic social media texts have mixed forms and many variations especially between MSA and AD. This paper aims to bridge the gap between MSA and AD by providing a framework for the translation of texts of soc...

This paper provides a novel model for English/Arabic Query Translation to search Arabic text, and then expands the Arabic query to handle Arabic OCR-Degraded Text. This includes detection and translation of word collocations, translating single words, transliterating names, and disambiguating translation and transliteration through different approaches. It also expands the query with the expect...

The many differences between Dialectal Arabic and Modern Standard Arabic (MSA) pose a challenge to the majority of Arabic natural language processing tools, which are designed for MSA. In this paper, we retarget an existing state-of-the-art MSA morphological tagger to Egyptian Arabic (ARZ). Our evaluation demonstrates that our ARZ morphology tagger outperforms its MSA variant on ARZ input in te...

Nowadays, sentiment analysis research is widely applied in a variety of applications such as marketing and politics. Several studies on the Arabic sentiment analysis have been carried out in recent years. These studies mainly focus on Modern Standard Arabic among which few studies have investigated the case of Arab dialects, in this case, Egyptian, Jordanian, and Khaliji. In this paper, we prop...

We demonstrate the feasibility of using unsupervised morphological segmentation for dialects of Arabic, which are poor in linguistics resources. Our experiments using a Qatari Arabic to English machine translation system show that unsupervised segmentation helps to improve the translation quality as compared to using no segmentation or to using ATB segmentation, which was especially designed fo...

A lot of work has been done in the field of natural language processing (NLP) for ARABIC. Few researchers have tried hard to apply on ARABIC the methods of computational linguistics, as for example, Definite Clause Grammar (DCG) [I] and Augmented Transition Networks (ATN) [2]. Because there is not a modern linguistic model for ARABIC grammar within the frame of computational linguistics, the re...

Text mining techniques confront many challenges when dealing with the Arabic language including lexical disambiguation because Arabic is a highly inflectional and derivational language, most of the Arabic texts are devoid of diacritics especially Modern Standard Arabic (MSA), thus, it is a must to depend on the ambiguous word context under study. Two fuzzy logic classifiers have been built and ...