Most tools and resources developed for natural language processing of Arabic are designed for Modern Standard Arabic (MSA) and perform terribly on Arabic dialects, such as Egyptian Arabic. Egyptian Arabic differs from MSA phonologically, morphologically and lexically and has no standardized orthography. We present a linguistically accurate, large-scale morphological analyzer for Egyptian Arabic...

This work presents a system for Automatic Arabic punctuation marks. Existing approaches for automatic punctuation marks do not provide suitable performance for and do not satisfy user interests in Arabic texts. The importance and rising need to automate the correct insertion of punctuation marks in Arabic texts led to a need of specific analysis of the Arabic language to introduce approaches th...

Building a system to extract Arabic named entities is a complex task due to the ambiguity and structure of Arabic text. Previous approaches that have tackled the problem of Arabic named entity recognition relied heavily on Arabic parsers and taggers combined with a huge set of gazetteers and sometimes large training sets to solve the ambiguity problem. But while these approaches are applicable ...

This paper describes an effort toward building Arabic cheque databases for research in recognition of handwritten Arabic cheques. Databases of Arabic legal amounts, Arabic subwords, courtesy amounts, Indian digits, and Arabic cheques are provided. This paper highlights the characteristics of the Arabic language and presents the various steps that have been completed to achieve this goal includi...

In this article we present Curras, the first morphologically annotated corpus of the Palestinian Arabic dialect. Palestinian Arabic is one of the many primarily spoken dialects of the Arabic language. Arabic dialects are generally under-resourced compared to Modern Standard Arabic, the primarily written and official form of Arabic. We start in the article with a background description that situ...

The present paper describes the experience gained at LDC in the collection and transcription of conversational dialectal Arabic. The paper will cover the following: (a) Arabic language background; (b) objectives. principles, and methodological choices of dialectal Arabic transcription, (c) design features of LDC‟s „Arabic MultiDialectal Transcription Tool‟ (AMADAT) and metalanguage transcriptio...

We investigate the concept of the heritage store, that is, the locations that lies at the heart of a brand's identity and history. Based on store observations and interviews with managers and sales personnel in the luxury industry, we analyze the characteristics of heritage stores and their role in the management of heritage brands. We show how managers sacralize a store's heritage to nurture t...

Arabic morphological analysis is one of the essential stages in Arabic Natural Language Processing. In this paper we present an approach for Arabic morphological analysis. This approach is based on Arabic morphological automaton (AMAUT). The proposed technique uses a morphological database realized using XMODEL language. Arabic morphology represents a special type of morphological systems becau...

1. Some Extended Arabic characters are typographical variants of characters already adequately covered by the corresponding Basic Arabic Characters; 2. 0626 ARABIC LETTER YEH WITH HAMZA ABOVE is actually a representation form of two nominal characters: 06D5 ARABIC LETTER AE followed by 0621 ARABIC LETTER HAMZA; 3. The graphemes for the aspirated phonemes of Urdu should be added; 06BE ARABIC LET...