Research ArticleOpen accessEvery word in the titleOn the History of Vocabulary Study of Kipchak Languages GroupLyazat Meirambekova, Gulgaisha Sagidolda, Magripa Yeskeyeva et al.The article is devoted to the consideration of the development and formation process of the written Turkic languages from the beginning of the XX century. The research is based on the construction of separate lexicology of Turkic languages on the materials of Kazakh, Kyrgyz, Bashkir, Kumyk, Nogai and Tatar languages. The general lexicological fund of Turkic languages is investigated. The … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 11 Nov 2016 · 7,537 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHand Gesture Recognition for Human-Computer InteractionS. Mohamed Mansoor Roomi, R. Jyothi Priya, H. JayalakshmiProblem statement: With the development of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen are not sufficient. Due to the limitation of these devices the useable command set is also limited. Direct use of hands can be used as an input device for providing natural interaction. Approach: In this study, Gaussian Mixture Model (GMM) was used to … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 8,311 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Machine Learning Framework for Strategic Gameplay Optimization in Scrabble Using Reinforcement LearningMohd Kaleem, Kanta Prasad Sharma, Tapsi Nagpal et al.This paper explores and compare various artificial intelligence-based techniques used for playing classic board game Scrabble. As the world is evolving around finding quick and efficient techniques for the solution of each problem using Machine learning, gaming industry is also a flourishing industry and has grown 9.8% compared to previous year and has generated a revenue of 26.14 billion dollars … …Journal of Computer Science, Vol. 22, Issue 9 · 22 Sep 2026 · 666 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Bias Detection in Tweets Using Bayesian Probabilistic ModelPrasanth G Rao, Harsha Chigurupati, Krish Hashia et al.Content moderation on social media faces persistent challenges from inconsistent evaluation shaped by subjective judgment and subtle semantic variations. This work proposes a Bayesian probabilistic framework for detecting bias in tweets using WordNet-based vocabulary filtering, statistical normalization via z-scores, and threshold optimization. The system is stateless, scalable, and dataset-agnostic, requiring no session-specific information. Unlike complex models such as Support Vector … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,009 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 abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,278 accessesView PDFCite
Research ArticleOpen accessIn the abstractBangla↔English Machine Translation Using Attention-based Multi-Headed Transformer ModelArgha Chandra Dhar, Arna Roy, M. A. H. Akhand et al.Machine Translation (MT) refers to translate texts or documents from the source language into the target language without human intervention. Any MT model is language-dependent and its development requires grammar, phrase rules, vocabulary, or relevant data for the particular language pair. Hitherto, little research on MT for Bangla-English is reported in the literature, although Bangla is a major language. This … …Journal of Computer Science, Vol. 17, Issue 10 · 10 Nov 2021 · 8,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractTranslation Quality Assessment of Online Translation Systems in Translating English to Thai on Phuket TourismKitsiri Chochiang, Thanakrit Thongkhamdee, Lalita SathansatThis research aims to compare four English-to-Thai translator applications on translating the comments posted on social media. Four translator applications include Google Translate, Baidu Translate, Yandex.Translate and Microsoft/Bing Translate. The comments in this study are on three main popular attractions in Phuket, Thailand. The attractions include a temple (Wat Chalong), a viewpoint spot (Promthep Cape) and a beach (Patong beach). … …Journal of Computer Science, Vol. 16, Issue 11 · 10 Nov 2020 · 7,498 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling the Semantics of States and State MachinesSabah Al-FedaghiA system’s behavior is typically specified through models such as state diagrams that describe how the system should behave. According to researchers, it is not clear what a state actually represents regarding the system to be modeled. Standards do not provide adequate definitions of or sufficient guidance on the use of states. Studies show these inconsistencies can lead to poor … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 6,974 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Bilingual Advantage on Word Learning-Factors Influence on Lexical Development of BilingualsNing Cao, Guanying ChenLexical development is the changes that occur in vocabulary knowledge. The central role of the lexicon in language and vocabulary development makes it an integral aspect in the study of bilingualism. In recent years, there are many studies on lexical development in bilinguals. By reviewing these related studies, it reveals that the age of acquisition, executive function and early language … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 8 Jul 2020 · 6,982 accessesView PDFCite