Research ArticleOpen accessIn the abstractEnhancing Brazilian Portuguese Textual Entailment Recognition with a Hybrid ApproachAllan de Barcelos Silva, Sandro José RigoPrevious work on textual entailment has not fully exploited aspects of deep linguistic relations, which have been shown as containing important information for entailment identification. In this study, we present a new method to compute semantic textual similarity between two sentences. Our proposal relies on the integration of a set of deep linguistic relations, lexical aspects and distributed representational resources. … …Journal of Computer Science, Vol. 14, Issue 7 · 12 Jul 2018 · 8,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Better Approach to Ontology Integration using Clustering Through Global Similarity MeasureAshwin Makwana, Amit GanatraKnowledge representation is a crucial area of work in the intelligent system, especially in query answering system development. Ontology is used to represent shared knowledge of a particular domain for query answering system. Domain-specific ontology can be designed and developed by many groups and researchers, because of which there is heterogeneity in the knowledgebase. Ontology integration or merging is necessary … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,231 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Generation of Malay LexiconKalaiarasi Sonai Muthu Anbananthen, Surendran Selvaraju, Jaya Kumar KrishnanThe most important element in analyzing sentiment in text is to assign polarity to the opinion words. Polarity means the positive, negative or neutral state of the opinion words. They are many methods or ways in determining the polarity of an opinion words. One of the methods is using lexicon-based method. Lexicons are digital library of opinion words together with … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 14 Apr 2017 · 8,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation and Sociolinguistic Analysis of Text Features for Gender and Age IdentificationVasiliki Simaki, Iosif Mporas, Vasileios MegalooikonomouThe paper presents an interdisciplinary study in the field of automatic gender and age identification, under the scope of sociolinguistic knowledge on gendered and age linguistic choices that social media users make. The authors investigated and gathered standard and novel text features used in text mining approaches on the author's demographic information and profiling and they examined their efficacy in … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 25 Sep 2016 · 9,137 accessesView PDFCite
Literature ReviewOpen accessIn the abstractAdvances in Document Clustering with Evolutionary-Based AlgorithmsSarmad Makki, Razali Yaakob, Norwati Mustapha, Hamidah IbrahimDocument clustering is the process of organizing a particular electronic corpus of documents into subgroups of similar text features. Formerly, a number of conventional algorithms had been applied to perform document clustering. There are current endeavors to enhance clustering performance by employing evolutionary algorithms. Thus, such endeavors became an emerging topic gaining more attention in recent years. The aim of … …American Journal of Applied Sciences, Vol. 12, Issue 10 · 20 Oct 2015 · 7,192 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Grammaticalization of the Spanish Complement-taking Verb without a ComplementizerJiyoung YoonThis study examines authentic data samples taken from the Corpus de Referencia del Español Actual (CREA) in order to uncover any semantic trends that can be commonly observed in verbs taking a sentential complement without the complementizer que in Spanish. In doing so, special attention is given to the grammaticalization process that can account for epistemic fragments in which the … …Journal of Social Sciences, Vol. 11, Issue 3 · 12 Sep 2015 · 8,776 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach to Pronominal Anaphora Resolution in ArabicAbdullatif Abolohom, Nazlia OmarOne of the challenges in natural language processing is to determine which pronouns to be referred to their intended referents in the discourse. Performing anaphora resolution is considered as an important task for a number of natural language processing applications such as information extraction, question answering and text summarization. Most of the earlier works of anaphora resolution have been applied … …Journal of Computer Science, Vol. 11, Issue 5 · 17 Aug 2015 · 7,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Search Engines Using Enhanced Vector Space ModelJitendra Nath Singh, Sanjay K. DwivediVector space model allows computing a continuous degree of similarity between queries and retrieved documents and then ranks the documents in increasing order of cosine (similarity) value. It computes cosine or similarity value using their cosine function. The cosine function computes the similarity value by computing the weight of each term in the documents using a weighting scheme but it … …Journal of Computer Science, Vol. 11, Issue 4 · 24 Jul 2015 · 6,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractHow Trainee Translators Analyse Lexico-Grammatical PatternsChris Gledhill, Natalie KüblerIn this study, we examine the ability of advanced students of specialised translation to identify and analyse 'generic collocations' in a corpus of specialised multilingual texts (mostly technical or scientific texts in English, French and German). In general, we find that our students attach much importance to frequently-occurring 'clusters' or 'n-grams'. However the students find it difficult to see these … …Journal of Social Sciences, Vol. 11, Issue 3 · 15 Jul 2015 · 8,556 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMPARATIVE STUDY OF COMBINED FEATURE SELECTION METHODS FOR ARABIC TEXT CLASSIFICATIONAisha Adel, Nazlia Omar, Adel Al-ShabiText classification is a very important task due to the huge amount of electronic documents. One of the problems of text classification is the high dimensionality of feature space. Researchers proposed many algorithms to select related features from text. These algorithms have been studied extensively for English text, while studies for Arabic are still limited. This study introduces an investigation … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 8,439 accessesView PDFCite