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...

As multimedia computing becomes pervasive throughout the land we are faced with an ever-darkening national tragedy. Our precious pristine bandwidth is being sullied by examples of poor spelling, abysmal layout, muddy images, and noisy music. So battered are our bytes that, without prompt and effective remedial action by the Government, our nation risks becoming a laughingstock amongst the cyber...

We investigated whether the presence of orthography promotes new word learning (orthographic facilitation). In Study 1 (N = 41) and 2 74), children were taught 16 unknown polysyllabic words. Half words appeared with present half without orthography. Learning assessments captured degree semantic orthographic learning; they administered one week after teaching (Studies 2), and, unusually, eight m...

Tokenization represents the way of segmenting a piece text into smaller units called tokens. Since Arabic is an agglutinating language by nature, this treatment becomes crucial preprocessing step for many Natural Language Processing (NLP) applications such as morphological analysis, parsing, machine translation, information extraction, and so on. In article, we investigate word tokenization tas...