Research and experimentation using Arabic WordNet in the field of information retrieval are relatively new. It is limited compared to the research that has been done using Princeton WordNet. This work attempts to study the impact of Arabic WordNet on the performance of Arabic information retrieval. The authors extend Lucene with Arabic WordNet to expand user’s queries. The major contribution of...

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 AD classification using probabi...

The aim of this work is to introduce a primary research on Arabic audiovisual analysis. Each language has multiple phonemes and visemes and each viseme can have multiple phonemes. The first part focuses on how to classify Arabic visemes from still images, whereas the second part shows the variation of Pitch for each viseme. We haven’t taken coarticulation of visemes in context. To evaluate the ...

This paper presents a hybrid approach to the enhancement of English to Arabic statistical machine translation quality. Machine Translation has been defined as the process that utilizes computer software to translate text from one natural language to another. Arabic, as a morphologically rich language, is a highly flexional language, in that the same root can lead to various forms according to i...

translation is of the most striking manifestations of contemporary arabic literature.this phenomenon in contemporary western criticism of the discussions that influenced this effect is  due to communication and connection with the arab literature and  west.            contemporaneous cash and cash schools, especially schools divan court are external factors affecting research. but the important...

Dialectal Arabic speech recognition is a difficult problem and is relatively less studied. In this paper, we propose a cross-dialectal Gaussian mixture model training criteria to transfer knowledge from one domain to the other by data sharing. Specifically, phone classification experiments on West Point Modern Standard Arabic Speech corpus and Babylon Levantine Arabic Speech corpus demonstrate ...

In this paper, we report on a set of initial results for English-to-Arabic Statistical Machine Translation (SMT). We show that morphological decomposition of the Arabic source is beneficial, especially for smaller-size corpora, and investigate different recombination techniques. We also report on the use of Factored Translation Models for Englishto-Arabic translation.