AbdulMalik Al-Salman

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Technology has shown great promise in providing access to textual information for visually impaired people. Optical Braille Recognition (OBR) allows people with visual impairments to read volumes of typewritten documents with the help of flatbed scanners and OBR software. This project looks at developing a system to recognize an image of embossed Arabic(More)
Classical Arabic forms the basis of Arabic linguistic theory and it is well understood by the educated Arabic reader. It is different in many ways from Modern Standard Arabic which is more simplified in its lexical, syntactic, morphological, phraseological and semantic structure. King Saud University Corpus of Classical Arabic is a pioneering corpus of(More)
Arabic language is very rich in derivations, vocabulary, and grammatical structures. The problem of determining the correct meaning of a word in a non-vowelized Arabic sentence is not a trivial task since Arabic is very rich in the polysemy phenomena. This paper attempts to reveal the word sense ambiguity, by building a semantic parser powered by a(More)
Recognizing and extracting name entities like person names, location names, date and time from an electronic text is very useful for text mining tasks. Named entity recognition is a vital requirement in resolving problems in modern fields like question answering, abstracting systems, information retrieval, information extraction, machine translation, video(More)
Distributional lexical semantics is an empirical approach that is mainly concerned with modeling words' meanings using word distribution statistics gathered from very large corpora. It is basically built on the Distributional Hypothesis by Zellig Harris in 1970, which states that the difference in words' meanings is associated with the difference in their(More)
Distributional semantic models are considered one of the empiricist approaches to study language structure and design. Its mainly based on building semantic models of words' meanings using statistical analysis of their distribution in very large corpora. In this paper, we present the Kind Saud University Corpus of Classical Arabic (KSUCCA), which is(More)
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