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. ...

This paper investigates the unique pharyngeal and uvular consonants of Arabic from the automatic speech recognition (ASR) point of view. 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 uncovered and ...

We propose two simple indices to classify journals published in the Arabic language and different Arabic researchers. These indices depend on the known impact factor and h-index. The new indices give an easy way to judge the ranking of any journal (output of any researcher) without reference to other non-Arabic journals (output of non-Arabic researchers).

We present our correction annotation guidelines to create a manually corrected nonnative (L2) Arabic corpus. We develop our approach by extending an L1 large-scale Arabic corpus and its manual corrections, to include manually corrected non-native Arabic learner essays. Our overarching goal is to use the annotated corpus to develop components for automatic detection and correction of language er...

This study aimed to examine the effects of visual characteristics of Arabic orthography on learning to read compared to Hebrew among Arabic and Hebrew bilinguals in an elementary bilingual education framework. Speed and accuracy measures were examined in reading words and non-words in Arabic and Hebrew as follows: Arabic words and non-words composed of connected and similar letters, words and n...