نتایج جستجو برای: arabic

تعداد نتایج: 95942  

Journal: :Cancer nursing 2018
Maaidah M Algamdi Sandra K Hanneman

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...

2012
Wajdi Zaghouani Abdelati Hawwari Mona T. Diab

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....

2013
Arianna Bisazza Roberto Gretter

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...

Journal: :Computer Speech & Language 2010
Yousef Ajami Alotaibi Muhammad Ghulam

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. ...

2014
Will Monroe Spence Green Christopher D. Manning

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...

2010
Khaled F. Shaalan Marwa Magdy Aly Fahmy

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 ...

Journal: :Neuropsychology 2004
Zohar Eviatar Raphiq Ibrahim Deia Ganayim

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...

Journal: :CoRR 2016
Salam Khalifa Nizar Habash Dana Abdulrahim Sara Hassan

Most Arabic natural language processing tools and resources are developed to serve Modern Standard Arabic (MSA), which is the official written language in the Arab World. Some Dialectal Arabic varieties, notably Egyptian Arabic, have received some attention lately and have a growing collection of resources that include annotated corpora and morphological analyzers and taggers. Gulf Arabic, howe...

Journal: :Int. Arab J. Inf. Technol. 2014
Abdel Karim Al Tamimi Manar Jaradat Nuha Al-Jarrah Sahar Ghanem

Text readability refers to the ability of the reader to understand and comprehend a given text. In this research, we present our approach to develop an automatic readability index for the Arabic language: Automatic Arabic Readability Index (AARI), using factor analysis. Our results are based on more than 1196 Arabic texts extracted from the Jordanian curriculum in the subjects of: Arabic langua...

2015
Wajdi Zaghouani Nizar Habash Houda Bouamor Alla Rozovskaya Behrang Mohit Abeer Heider Kemal Oflazer

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...

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