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...

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...

We present a fully fledged practical working application for a rule-based NLG system that is able to create non-trivial, human sounding narrative from structured data, in any language (e.g., English, German, Arabic and Finnish) and for any topic.

Named Entity Recognition (NER) identifies proper nouns in a text and categorizes it as a distinct kind of named entities. This function enables the extraction of peoples name, locations, organizations, and currencies. Several research abound in this area in Arabic NER is concerned. However, recognizing Arabic named entities is challenging due to the complexity in the Arabic language. These comp...

This paper presents an English-Iraqi Arabic speech-to-speech statistical machine translation system using limited resources. In it, we explore the constraints involved, how we endeavored to mitigate such problems as a non-standard orthography and a highly inflected grammar, and discuss leveraging existing plentiful resources for Modern Standard Arabic to assist in this task. These combined tech...

As a part of multi-media support system for Arabic e-learning, some vehicle should be provided for training students to pronounce Arabic text themselves. Since the Arabic alphabet is phonetic, it seems a good idea to transliterate Arabic into Roman, the most popular language, but there exists a big gap between Arabic and Roman besides a difference between their alphabets; scripting directions. ...

Effective feature selection is a key component for building an efficient automatic document classifier. We regularly encounter in the Arabic literatureespecially the scientific oneinfrequent non-Arabic words that are eliminated by practice during the pre-processing phase. Although infrequent, those words are highly pertinent to their documents and, thus, can contribute to build a more efficient...

Arabic character recognition of handwriting is addressed. A novel approach for the Arabic Character Recognition is presented based on statistical analysis of a typical Arabic text is presented. Results showed that the sub-word in Arabic language is the basic pictorial block rather than the word. The method of approximate stroke sequence is applied for the recognition of some Arabic characters i...

Contents The Representation of Culture in Arabic pedagogy books to non-Arabic languages Danesh Mohammadi, Sakineh Zarenejad....................................................... 1 Critical Study of the‏‏manifestations of Mamluke's life from the novel “Alsaeroun‏‏niyam...

Steganography is the ability to hide secret information in a cover-media such as sound, pictures and text. A new approach is proposed to hide a secret into Arabic text cover media using "Kashida", an Arabic extension character. The proposed approach is an attempt to maximize the use of "Kashida" to hide more information in Arabic text cover-media. To approach this, some algorithms have been des...