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Review ArticleOpen accessEvery word in the titleA 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
Research ArticleOpen accessEvery word in the titleEffects of Competing Lexical Distracters in a Visual Search TaskJeremy W. Grabbe, Tom Cioffi, Luke T. Zauner et al.Studies have shown that distracters that are relevant to a target can negatively affect visual search performance. Recent studies have looked at performance when targets are embedded within a distracter. Various factors have been explored such as automaticity, spatial location and timing. This study asked, &#34If distracters affected a different dimension would that produce a detriment to visual search performance&#34? … …Current Research in Psychology, Vol. 4, Issue 2 · 16 Jan 2014 · 7,373 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimizing Title and Meta Tags Based on Distribution of Keywords; Lexical and Semantic ApproachesMohammad Farahmand, Abu Bakar M.D. Sultan, Masrah Azrifah Azmi Murad, Fatimah SidiProblem statement: To increase traffic on websites, Search Engine Optimization (SEO) has provided many costly and time-consuming options. One problem is the inadequate distribution of keywords especially those keywords that users use the title tag and Meta tags. Approach: This study described work on an initial model for handling some of the SEO factors to increase the distribution of keywords. … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,894 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEntrenching Inferences in Implicational and Illocutionary ConstructionsFrancisco José Ruiz de Mendoza IbáñezThe starting point for the present paper is the classification of constructions, understood as fixed pairings of form and meaning, into four levels of meaning representation, i.e., the argument-structure, implicational, illocutionary and discourse levels. The meaning part of constructions contains fixed and variable elements. In argument-structure constructions the fixed elements are generic and, as such, they are open to parameterization … …Journal of Social Sciences, Vol. 11, Issue 3 · 14 Aug 2015 · 8,199 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSequential Patterns: A new Corpus-Based Method to Inform the Teaching of Language for Specific PurposesDominique Legallois, Anne PrunetIn this study, we present an original study that aims to show how pedagogically important lexico-grammatical patterns, which are typical of certain genres, can be identified and taught at every educational level, in particular for learners of French for Specific Purposes. These patterns, called Sequential Patterns, constitute a more powerful paradigm than lexical bundles or “P-frames” because they combine different … …Journal of Social Sciences, Vol. 11, Issue 3 · 13 Aug 2015 · 8,174 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAUTHORSHIP CATEGORIZATION IN EMAIL INVESTIGATIONS USING FISHER’S LINEAR DISCRIMINANT METHOD WITH RADIAL BASIS FUNCTIONA. Pandian, Md. Abdul Karim SadiqEmail plays a vital role in faster communication. Lots of mails are sent to common public with falsified information that appears to be a realistic. It is mandatory to trace the origin of the email and the authors/systems responsible for generating such emails. Representative signatures of email are to be generated using lexical and syntactic based methods. The signature of … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 6,686 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAuthorship Attribution of Short Historical Arabic Texts using Stylometric Features and a KNN Classifier with Limited Training DataFatma Howedi, Masnizah Mohd, Zahra Aborawi Aborawi, Salah A. JowanAuthorship Attribution (AA) is a task that aims to recognize the authorship of unknown texts based on writing style. Out of the various approaches to solve the AA problem, Stylometry is a promising one. This paper explores the use of a K-Nearest Neighbor (KNN) classifier combined with stylometry features to perform AA. This study indicates the robustness of KNN in … …Journal of Computer Science, Vol. 16, Issue 10 · 3 Oct 2020 · 8,190 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 keywordsClassification 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 accessIn the abstractA Sentiment-Aware Hybrid Ensemble Clustering Framework for Social Network Content Analysis and Community DiscoveryDhimesh Pravinbhai Parmar, Paresh TannaSocial media stages produce huge volumes of short, familiar, and sentiment-rich content that offerings significant encounter for community discovery and thematic analysis. Traditional clustering approach struggle with sparsity, noise, and limited surroundings information present in such texts. To address these limitations, this study introduces a sentiment-aware hybrid ensemble clustering framework designed openly for social network content analysis. The planned method … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,271 accessesView PDFCite