Although Arabic is the world’s second most spoken language in terms of the number of speakers, Arabic automatic speech recognition (AASR) did not receive the desired attention from the research community. In this paper, we introduce thorough statistical analysis of the Arabic phonemes from a widely used Arabic corpus that was developed by King Fahd University of Petroleum and Minerals (KFUPM) w...

Most opinion mining methods in English rely successfully on sentiment lexicons, such as English SentiWordnet (ESWN). While there have been efforts towards building Arabic sentiment lexicons, they suffer from many deficiencies: limited size, unclear usability plan given Arabic’s rich morphology, or nonavailability publicly. In this paper, we address all of these issues and produce the first publ...

This paper presents a novel Arabic morphological generator (AMG) for Modern Standard Arabic (MSA) which is designed and implemented using Prolog. The AMG is used to generate inflected forms of words used for the indexing of Arabic audio. These words are also the relevant terms in the Arab authority system (library information retrieval system) used in this study. The AMG generates inflected Ara...

A phonetic dictionary is an essential component of a speech recognition system or a speech synthesis system. Our work targets the generation of an automatic pronunciation dictionary for the Tunisian Arabic, in particular in the field of rail transport. To do this, we created two tools of phonetic vowelized and unvowelized words in the Tunisian Arabic. The proposed method to automatically genera...

This paper explains for the Arabic language, how to extract named entities and topics from news articles. Due to the lack of high quality tools for Named Entity Recognition (NER) and topic identification for Arabic, we have built an Arabic NER (RenA) and an Arabic topic extraction tool using the popular LDA algorithm (ALDA). NER involves extracting information and identifying types, such as nam...

In the past few years, researchers have started paying attention to the Arabic language. In this paper we review information extraction systems that were developed for the Arabic to extract predefined entities. A comparisons are conducted between these systems in terms of their performance in extracting the common entities, the approach used whether rule-based or machine learning and type of co...

This chapter addresses the exploitation of a supervised machine learning technique to automatically induce Arabic-to-English transfer rules from chunks of parallel aligned linguistic resources. The induced structural transfer rules encode the linguistic translation knowledge for converting an Arabic syntactic structure into a target English syntactic structure. These rules are going to be an in...

BACKGROUND The popularity of using the Internet and related applications has grown in Arabic countries in recent years. Despite numerous advantages in terms of optimizing communications among individuals and social systems, the use of the Internet may in certain cases become problematic and engender negative consequences in daily life. As no instrument in the Arabic language is available, howev...

Each culture has its own system of address forms, which vary not only across languages but the varieties same language. This fact confirms impact that sociocultural factors assert on set forms and their functioning. The present study is focused a sub-category namely, terms endearment, are explored in American English Syrian Arabic family discourse. aims to specify endearment two contexts reveal...