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16 articles for “Arabic standard”
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Research ArticleOpen accessPhrase in the titleExtraction of Arabic Standard MicromelodyA. Chentir, M. Guerti, D. J. HirstProblem statement: In the early days of speech synthesis research the obvious focus of attention was intelligibility. But many researchers agree that the major remaining obstacle to fully acceptable synthetic speech is that it continues to be insufficiently natural. Approach: In this study, we exploited microvariations of fundamental frequency (F0) of speech (intrinsic and co-intrinsic effects) to extract micromelody effect … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,284 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassification 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
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 titleProsody Modification of Standard Arabic Speech Using Combining Synchronous Overlap and Add With Fixed-Synthesis Algorithm and Multi Level Discrete Wavelet TransformYkhlef Faycal, Bensebti Mesaoud, Bendaouia LotfiProblem statement: The objective of prosody modification is to change the amplitude, duration and pitch (F0) of speech segments without altering their spectral envelop. Applications are numerous, including, Text-To-Speech synthesis, transformation of voice characteristics and foreign language learning. Several approaches have been developed in the literature to achieve this goal. The main restrictions of these latter are in the modification … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 6,836 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArabic 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 accessIn the keywordsStatistical 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 abstractOptimized WFST-Based ASR for Arabic: Balancing Memory, Speed, and AccuracyWael A. Sultan, Mourad S. Semary, Sherif M. AbdouWeighted Finite-State Transducers (WFSTs) have revolutionized Automatic Speech Recognition (ASR) by enabling significantly faster decoding speeds compared to traditional systems that build the search space progressively. However, applying WFSTs to morphology-rich languages such as Arabic presents challenges due to the large vocabulary, resulting in extensive networks that exceed the memory capacity of standard CPUs. This study introduces various strategies to … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractAraSenti-MARBERT-DynGCN: An Advanced Framework for Sarcasm Detection in Arabic TextBassma M Mousa, Mohammed H. Haggag, Mervat GheithSarcasm detection in Arabic texts is challenging because of the complexity in Arabic morphology, the multitudes of dialects used by native speakers, and its strong reliance on context. The lack of standardized orthography in most written forms of Arabic, combined with the frequent use of colloquialisms and metaphorical expressions, makes the task all the more difficult when trying to detect … …Journal of Computer Science, Vol. 21, Issue 11 · 12 Feb 2026 · 1,562 accessesView PDFCite
Review ArticleOpen accessIn the abstractSpeech 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
Research ArticleOpen accessIn the abstractClassification of Arabic Comments to Detect Cyberbullying from Social Media Using Convolutional Neural Network and Meta-LearningSarah Mansour Elgaud, Mustafa Ali Abuzaraida, Abdullah AlshehabAs a result of the proliferation of social media, cyberbullying has become widespread in the Arab community on social media and cyberbullying has become a concern targeting individuals and may cause some serious side effects. The problems of Natural Language Processing (NLP) for the Arabic language and its complexity make it difficult to classify texts accurately. In recent years, deep … …Journal of Computer Science, Vol. 21, Issue 3 · 10 Feb 2025 · 6,279 accessesView PDFCite