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 ...

Handwriting recognition refers to the identification of written characters. Handwriting recognition has become an acute research area in recent years for the ease of access of computer science. In this paper primarily discussed On-line and Off-line handwriting recognition methods for Arabic words which are often used among then across the Middle East and North Africa People. Arabic word online ...

Text classification is the process of assigning a text or a document to various predefined classes or categories to reflect their contents. With the rapid growth of Arabic text on the Web, studies that address the problems of classification and segmentation of the Arabic language are limited compared to other languages, most of which implement word-based and feature extraction algorithms. This ...

BACKGROUND Valid and reliable instruments in Arabic are needed to measure self-efficacy and quality of life for Arabic patients with cancer. OBJECTIVE The aim of this study was to test the psychometric performance of the Cancer Behavior Inventory-Brief Arabic (CBI-BA), including participant understanding of items, and the Functional Assessment of Cancer Therapy-Breast Arabic (FACT-BA). METH...

The Quran is a significant religious text written in a unique literary style, close to very poetic language in nature. Accordingly it is significantly richer and more complex than the newswire style used in the previously released Arabic PropBank (Zaghouani et al., 2010; Diab et al., 2008). We present preliminary work on the creation of a unique Arabic proposition repository for Quranic Arabic....

This paper describes our efforts to build an Arabic ASR system with web-crawled resources. We first describe the processing done to handle Arabic text in general and more particularly to cope with the high number of different phonetic transcriptions associated to a typical Arabic word. Then, we present our experiments to build acoustic models using only audio data found in the web, in particula...

This paper investigates the unique pharyngeal and uvular consonants of Arabic from the point of view of automatic speech recognition (ASR). Comparisons of the recognition error rates for these phonemes are analyzed in five experiments that involve different combinations of native and non-native Arabic speakers. The most three confusing consonants for every investigated consonant are discussed. ...

Segmentation of clitics has been shown to improve accuracy on a variety of Arabic NLP tasks. However, state-of-the-art Arabic word segmenters are either limited to formal Modern Standard Arabic, performing poorly on Arabic text featuring dialectal vocabulary and grammar, or rely on linguistic knowledge that is hand-tuned for each dialect. We extend an existing MSA segmenter with a simple domain...

Arabic is a language of rich and complex morphology. The nature and peculiarity of Arabic make its morphological and phonological rules confusing for second language learners (SLLs). The conjugation of Arabic verbs is central to the formulation of an Arabic sentence because of its richness of form and meaning. In this paper, we address issues related to the morphological analysis of ill formed ...

Hebrew and Arabic are Semitic languages with a similar morphological structure and orthographies that differ in visual complexity. Two experiments explored the interaction of the characteristics of orthography and hemispheric abilities on lateralized versions of a letter-matching task (Experiment 1) and a global-local task (Experiment 2). In Experiment 1, native Hebrew readers and native Arabic...