Research ArticleOpen accessIn the keywordsEnglish to Arabic Machine Translation Based on Reordring AlgorithmEhsan Abdulraheem Mohammed, Mohd. Juzaiddin Ab AzizProblem Statement: The purpose of Machine Translation (MT) is set accurate translation by implement a system to achieve similar result with human translates as in case the translating English to Arabic. The translation is a creative process which involves interpretation of the text that given by the translator. In addition, the translation depends on the purpose for which it meant … …Journal of Computer Science, Vol. 7, Issue 1 · 12 Jan 2011 · 9,348 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Arabic Text-To-Speech System Based on Artificial Neural NetworksGhadeer Al-Said, Moussa AbdallahProblem statement: With the rapid advancement in information technology and communications, computer systems increasingly offer the users the opportunity to interact with information through speech. The interest in speech synthesis and in building voices is increasing. Worldwide, speech synthesizers have been developed for many popular languages English, Spanish and French and many researches and developments have been applied to those … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,368 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 abstractFew-shot Fine-tuning of BERT Multilingual for Hindi Word Sense DisambiguationShailendra Kumar Patel, Rakesh Kumar, Anuj Kumar SirohiWord Sense Disambiguation (WSD) is a fundamental task in Natural Language Processing (NLP), addressing the challenge of identifying correct word meanings in context. This task is particularly complex for morphologically rich and resource-limited languages like Hindi, which exhibit significant lexical ambiguity compounded by limited availability of annotated corpora. To address these challenges, we propose a supervised approach combining the multilingual … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,250 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Depression Classification Framework Using Optimal Feature Integration with Hybrid Convolution (1D/3D) Based Adaptive Residual DenseNetB. Manjulatha, Suresh PabbojuThis study introduces a novel depression classification method by incorporating multimodal data to reduce this limitation and improve the accuracy of depression diagnosis. In the beginning, the multimodal data such as speech signal, Electroencephalographic (EEG), and text data is obtained from the benchmark datasets. These acquired text data are subjected to the text pre-processing phase, where the stemming, character removal, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 5,860 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech Signal Analysis in Phase DomainHusne Ara Chowdhury, Mohammad Shahidur RahmanSpeech signal analysis based on the Phase Spectrum (PS) in the recent years becomes more popular to the researchers due to its attractive properties. Though some problem arises during its processing but appropriate modification gives the useful result. In this study, we proposed a new method of speech signal analysis based on its phase spectral representation. After analyzing the PS … …Journal of Computer Science, Vol. 16, Issue 8 · 10 Aug 2020 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractNamed Entity Recognition for Kannada using Gazetteers list with Conditional Random FieldsK. P. Pallavi, L. Sobha, M. M. RamyaNamed Entities (NEs) that exist in the sentences are essential to build Natural Language Processing (NLP) applications for Information Extraction (IE) from large corpora. However, generating a large corpus is challenging for resource poor languages, such as Kannada. Further, there is no annotated corpus available online. The challenges faced in annotating NEs with pre-defined classes are: It is morphologically joined … …Journal of Computer Science, Vol. 14, Issue 5 · 24 Feb 2018 · 8,275 accessesView PDFCite
Technical ReportOpen accessIn the abstractComparison of Stochastic and Rule-Based POS Tagging on Malay Online TextKalaiarasi Sonai Muthu Anbananthen, Jaya Kumar Krishnan, Mohd. Shohel Sayeed, Praviny MuniapanExtensive development of web 2.0 has led to production of gigantic amount of user generated data. These data consist of many useful information. Manual analyzing these data and classifying sentiment in them, is an exhausting task, thus opinion mining method is needed. Opinion mining approach uses natural language processing where Part-of-Speech (POS) Tagging is a crucial part. The performance of … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 5 Apr 2017 · 15,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL SPEECH ENHANCEMENT APPROACH BASED ON MODIFIED DCT AND IMPROVED PITCH SYNCHRONOUS ANALYSISV. R. Balaji, S. SubramanianSpeech enhancement has become an essential issue within the field of speech and signal processing, because of the necessity to enhance the performance of voice communication systems in noisy environment. There has been a number of research works being carried out in speech processing but still there is always room for improvement. The main aim is to enhance the apparent … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 21 Nov 2013 · 6,796 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Fundamental Frequency Contours for Thai Dialects with Large Speech DatabaseSuphattharachai ChomphanIn four core regions of Thailand, there are four main dialects including central, north, northeast and south dialects. The prosody is significantly unique for each dialect. One important factor determining the prosody is the fundamental frequency. As a result, modeling of Fundamental frequency (F0) contour is very important for the natural speech processing. Even though there are many modeling techniques … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 20 Dec 2012 · 7,341 accessesView PDFCite