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41 results for “Arabic Recognition”
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Research ArticleOpen accessIn the abstractGrammatical 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 accessIn the abstractA Vehicle License Plate Detection and Recognition SystemKhalid W. MagladProblem statement: Automatic vehicle license plate detection and recognition is a key technique in most of traffic related applications and is an active research topic in the image processing domain. Different methods, techniques and algorithms have been developed for license plate detection and recognitions. Approach: Due to the varying characteristics of the license plate from country to country like numbering … …Journal of Computer Science, Vol. 8, Issue 3 · 7 Jan 2012 · 9,008 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrontal 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 accessIn the abstractDifficulties 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 accessIn the abstractStatistical Part-of-Speech Tagger for Traditional Arabic TextsYahya O. Mohamed ElhadjProblem statement: This study presented the development of an Arabic part-of-speech tagger that can be used for analyzing and annotating traditional Arabic texts, especially the Quran text. Approach: It is a part of a project related to the computerization of the Holy Quran. One of the main objectives in this project was to build a textual corpus of the Holy … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,026 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital Recognition using Neural NetworkSaleh Ali K. Al-Omari, Putra Sumari, Sadik A. Al-Taweel, Anas J.A. HusainProblem statement: Handwriting number recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In our study there are many fields concern with numbers, for example, checks in banks or recognizing numbers in car plates, the subject of digit recognition appears. A system for recognizing isolated digits may be as … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,661 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Moment Features Extraction for Recognizing Handwritten Arabic LettersGheith Abandah, Nasser AnssariProblem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a novel feature extraction approach of handwritten Arabic … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractBack Propagation Neural Network Arabic Characters Classification Module Utilizing Microsoft WordA. A. HamzaProblem statement: Arabic character recognition has been one of the last major languages to receive attention. This may be attributed to the inherent complexity of both printed and handwritten Arabic characters. The objectives of this study were to: (i) summarize the main characteristics of Arabic language writing style. (ii) suggest a neural network recognition circuit. Approach: A Neural network with … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 7,831 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification by Discriminant Analysis of Energy in View of the Detection of Accented Syllables in Standard ArabicA. Chentir, M. Guerti, D. J. HirstProblem Statement: Current algorithms for the recognition and synthesis of Arabic prosody concentrate on identifying the primary stressed syllable of accented words on the basis of fundamental frequency. Generally, the three acoustic parameters used in prosody are: Fundamental frequency, duration and energy. Approach: In this study, we exploited the acoustic parameter of energy by means of a classification by a … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,824 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordSpeech Corpora for Different Languages: A Systematic ReviewVladimir Igorevich Fedoseev, Anton Aleksandrovich Konev, Natalia Sergeevna RepyukThe study of speech signals relies on carefully curated audio recordings, which are compiled and stored within specialized speech corpora. This article provides a comprehensive overview of such corpora across multiple languages, with particular focus on Russian, English, and Arabic. It notes that Russian and Arabic are represented by fewer corpora compared to the more extensive resources available for English. … …Journal of Computer Science, Vol. 22, Issue 1 · 2 Feb 2026 · 1,781 accessesView PDFCite