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36 articles for “ambiguity”
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Research ArticleOpen accessEvery word in the titleAn Entropy Based Method for Removing Web Query Ambiguity in Hindi LanguageS. K. Dwivedi, P. RastogiProblem statement: WSD is core problem of many Natural Language Processing (NLP) tasks; information retrieval is one of them. Information Retrieval in Hindi language also faces the similar problem of WSD. Hindi language is spoken by the major population in India. Natives from the rural area come across the setback of Hindi language information retrieval. WSD is one of them. … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRobust of Doppler Centroid for Mapping Sea Surface Current by Using Radar Satellite DataMazlan Hashim, Maged MarghanyProblem statement: Sea surface current retrieving from Synthetic Aperture Radar (SAR) is required standard methods due to the complexity of sea surface ocean imaging in SAR data. In this context, various analytical models have been developed which describe overall effects of sea surface roughness on the Doppler signal mechanisms. Nevertheless, such models are limited in the complexity of the sea … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,415 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Stanford Dependency Relations for Commonsense Knowledge Representation of Winograd Schema Challenge (WSC)Nesreen Alsharman, Raja Masadeh, Ibrahim Ali Jawarneh, Ahmad Al-Rababa’aAn alternative to the Turing Test that could offer a more accurate measurement of artificial intelligence is the Winograd Schema Challenge (WSC). It presents a number of coreference resolution issues that cannot be resolved without the use of human behavior reasoning. A certain type of Commonsense Knowledge (CSK) is necessary for Winograd schema. In order to handle the representation of … …Journal of Computer Science, Vol. 20, Issue 9 · 10 Jul 2024 · 4,743 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnglish-Hindi Cross Language Information Retrieval System: Query PerspectivePratibha Bajpai, Parul Verma, Syed Q. AbbasThe abundance of multilingual content on internet other than English gives an urge to develop information retrieval system that can cross language boundaries. Such cross lingual information retrieval systems will bridge this language gap and allow user to ask a query in regional language and retrieve relevant documents in a different language. The problem of finding relevant document in language … …Journal of Computer Science, Vol. 14, Issue 5 · 4 May 2018 · 8,735 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFinding What You Expect to See: Theoretical Modeling in PsycholinguisticsKathleen AhrensProblem statement: Theories of language processing rely upon experimental evidence to support or reject their hypotheses. Yet it is often the case that conflicting theories flourish alongside each other for decades, with voluminous experimental evidence to support their respective hypotheses. Approach: In this study, I suggest it is imperative for researchers to move beyond their own experiments and results to … …Journal of Social Sciences, Vol. 8, Issue 3 · 18 May 2012 · 8,227 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuzzy Parametric of Sample Selection Model Using Heckman Two-Step Estimation ModelsM. S. Lola, A. A. Kamil, M.T. Abu OsmanProblem statement: It is well known that, the standard approach to estimating a sample selection models shows an inconsistent estimation results if the distributional assumption are incorrect. Approach: An important progress in the last decade to develop an alternative to overcome the deficiency is through the used of semi-parametric method. However, the usage of semi-parametric approach still does not cover … …American Journal of Applied Sciences, Vol. 6, Issue 10 · 31 Oct 2009 · 6,764 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSemantic Refinement of Multi-meaning Words by T-normsF. Sadeghi, H. Khosravi, E. EslamiIn this paper we consider a multi-meaning word which appears in a sentence together with some connected words. To refine the meaning of this multi-meaning word, we propose a method based on T-norms which are reasonable mathematical models of logical conjunction operator in fuzzy logic. The preliminary results derived from a prepared corpus are encouraging. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,416 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Context Aware Deep Learning Framework for Multi-Level Arabic Fake News Detection Using Hybrid Linguistic RepresentationsNoor Mahmoud Alkudah, Somia Abufakher, Raja Masadeh et al.The rapid spread of false information on social media has made it even more important to be able to spot false news, especially in Arabic-speaking areas where language is more complicated and news is organized in a hierarchy. Recent research show that deep learning and transformer-based models work well, but most of them only look at performance metrics and don't … …Journal of Computer Science, Vol. 22, Issue 3 · 27 Mar 2026 · 1,566 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 abstractImplementation of Single Candidate Loss Optimization Algorithm for Loss Optimization of Bhojpuri-English Machine Translation ModelRituraj Dixit, Sarabjeet Singh Bedi, Ibrahim Aljubayri, Mohammad Zubair KhanMachine translation of low-resource Indian languages is necessary as most of the regions still know and speak their specific dialects and are still not comfortable understanding the English language. Indian languages are morphologically rich, due to which there are two big challenges, Ambiguity and Domain adaption, which are faced by researchers during the translation. Lack of data also increases the … …Journal of Computer Science, Vol. 21, Issue 5 · 17 Apr 2025 · 5,151 accessesView PDFCite