Research ArticleOpen accessEvery word in the titleUtilization of Gum Arabic for Industries and Human HealthEqbal Dauqan, Aminah AbdullahGum Arabic, a natural polysaccharide derived from exudates of Acacia senegal and Acacia seyal trees, is a commonly used food hydrocolloid. The highlight of this study was to review the utilization of gum Arabic for industries and human health. Gum Arabic has a unique combination of excellent emulsifying properties and low solution viscosity. These properties make gum Arabic very useful … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 6 Sep 2013 · 10,398 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic Person Names Recognition by using a Rule Based ApproachMohammed Aboaoga, Mohd Juzaiddin Ab AzizName Entity Recognition is very important task in many natural language processing applications such as; Machine Translation, Question Answering, Information Extraction, Text Summarization, Semantic Applications and Word Sense Disambiguation. Rule-based approach is one of the techniques that are used for named entity recognition to identify the named entities such as a person names, location names and organization names. The recent … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 7,482 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRecognition of Hindi (Arabic) Handwritten NumeralsRawan I. Zaghloul, Dojanah M.K. Bader Enas, F. AlRawashdehRecognition of handwritten numerals has been one of the most challenging topics in image processing. This is due to its contributions in the automation process in several applications. The aim of this study was to build a classifier that can easily recognize offline handwritten Arabic numerals to support those applications that are deal with Hindi (Arabic) numerals. A new algorithm … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 2 · 1 Aug 2012 · 8,176 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic Named Entity Recognition Using Artificial Neural NetworkNaji F. Mohammed, Nazlia OmarProblem statement: Named Entity Recognition (NER) is a task to identify proper names as well as temporal and numeric expressions, in an open-domain text. The NER task can help to improve the performance of various Natural Language Processing (NLP) applications such as Information Extraction (IE), Information Retrieval (IR) and Question Answering (QA) tasks. This study discusses on the Named Entity … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 8,676 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGrammatical Relation Extraction in Arabic LanguageOthman Ibrahim Hammadi, Mohd Juzaiddin Ab AzizProblem statement: Grammatical Relation (GR) can be defined as a linguistic relation established by grammar, where linguistic relation is an association among the linguistic forms or constituents. Fundamentally the GR determines grammatical behaviors such as: placement of a word in a clause, verb agreement and the passivity behavior. The GR of Arabic language is a necessary prerequisite for many natural … …Journal of Computer Science, Vol. 8, Issue 6 · 17 Mar 2012 · 7,027 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic to English Machine Translation of Verb Phrases Using Rule-Based ApproachZainab Abd Algani, Nazlia OmarProblem statement: Scientific translation represents an important stream in the current century due to explosion of the information revolution. The translation of scientific text is still limited in accuracy due to the fact that the scientific terms cannot be translated appropriately. Word order rules are very important for the generation of sentences in the target language whereas the word order … …Journal of Computer Science, Vol. 8, Issue 3 · 2 Jan 2012 · 8,389 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFrontal Arabic Fricative Consonants Characteristics among Primary School Children: Spectral Density Function ApproachNurul Ashikin Abdul-Kadir, Rubita SudirmanProblem statement: Arabic speech recognition system is un-developed until today. By using people of non-Arab nationality, the set of frontal fricative of Arabic consonants are study as the earlier step to develop the recognition system for Malaysian. As most of the developed Arabic speech recognition system for Malaysian are rarely found. Approach: The characteristic of each of the phonemes were … …Journal of Computer Science, Vol. 7, Issue 10 · 9 Aug 2011 · 7,175 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRule Based Shallow Parser for Arabic LanguageMona Ali Mohammed, Nazlia OmarProblem statement: One of language processing approaches that compute a basic analysis of sentence structure rather than attempting full syntactic analysis is shallow syntactic parsing. It is an analysis of a sentence which identifies the constituents (noun groups, verb groups, prepositional groups), but does not specify their internal structure, nor their role in the main sentence. The only technique used … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 7,183 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDifficulties of Standard Arabic Phonemes Spoken by Non-Arab Primary School Children based on Formant FrequenciesN. A. Abdul-Kadir, R. SudirmanProblem statement: The study of Malaysian Arabic phoneme is rarely found which make the references work difficult. Specific guideline on Malaysian subject is not found even though a lot of acoustic and phonetics research has been done on other languages such as English, French and Chinese. Approach: This study discussed about the correct and simplest way of Arabic phonemes pronunciation … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,458 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleQArabPro: A Rule Based Question Answering System for Reading Comprehension Tests in ArabicMohammed Akour, Sameer Abufardeh, Kenneth Magel, Qasem Al-RadaidehProblem statement: Extensive research efforts in the area of Natural Language Processing (NLP) were focused on developing reading comprehension Question Answering systems (QA) for Latin based languages such as, English, French and German. Approach: However, little effort was directed towards the development of such systems for bidirectional languages such as Arabic, Urdu and Farsi. In general, QA systems are more … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 14 Jun 2011 · 7,701 accessesView PDFCite