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42 results for “Word Accuracy (WA)”
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Research ArticleOpen accessIn the abstractSpeech Segmentation Using Dynamic Windows and Thresholds for Arabic and English LanguagesYahia Hasan JazyahSegmentation of audio data such as human speech (splitting each word in separate audio file – .WAV file) has been a major concern when working with multimedia such as recordings from radio or TV. The main focus of the segmentation of boundaries of spoken language has been on using energy and zero crossing thresholds for endpoint detection. Errors in endpoint … …Journal of Computer Science, Vol. 14, Issue 4 · 18 Apr 2018 · 7,778 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnglish Sentiment Classification using Only the Sentiment Lexicons with a JOHNSON Coefficient in a Parallel Network EnvironmentVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. In this survey, we have proposed a new model for Big Data sentiment classification. We use many sentiment lexicons of our basis English Sentiment Dictionary (bESD) to classify 5,000,000 documents including 2,500,000 positive and 2,500,000 negative of our testing data set in English. … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancement of Arabic Text Classification Using Semantic Relations of Arabic WordNetSuhad A. Yousif, Venus W. Samawi, Islam Elkabani, Rached ZantoutArabic text classification methods have emerged as a natural result of the existence of a massive amount of varied textual information (written in Arabic language) on the web. In most text classification processes, feature selection is crucial task since it highly affects the classification accuracy. Generally, two types of features could be used: Statistical based features and semantic and concept … …Journal of Computer Science, Vol. 11, Issue 3 · 15 Apr 2015 · 8,065 accessesView PDFCite
Research ArticleOpen accessIn the abstractARABIC PART OF SPEECH TAGGING USING K-NEAREST NEIGHBOUR AND NAIVE BAYES CLASSIFIERS COMBINATIONRund Mahafdah, Nazlia Omar, Omaia Al-OmariPart Of Speech (POS) tagging forms the important preprocessing step in many of the natural language processing applications such as text summarization, question answering and information retrieval system. It is the process of classifying every word in a given context to its appropriate part of speech. Different POS tagging techniques in the literature have been developed and experimented. Currently, it … …Journal of Computer Science, Vol. 10, Issue 9 · 2 May 2014 · 7,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractEFFICIENT RANKED AND SECURE FILE RETRIEVAL IN CLOUD COMPUTINGJ. Jospin Jeya, E. KannanCloud computing facilitates extremely scalable services that can be consumed over internet. An important aspect of the cloud services is that user data are stored remotely in unknown machines in which users do not posses or manage. Since the data’s are stored remotely, we have to keep in mind that sensitive cloud data have to be encrypted before they are … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic to English Machine Translation of Verb Phrases Using Rule-Based ApproachZainab Abd Algani, Nazlia OmarProblem statement: Scientific translation represents an important stream in the current century due to explosion of the information revolution. The translation of scientific text is still limited in accuracy due to the fact that the scientific terms cannot be translated appropriately. Word order rules are very important for the generation of sentences in the target language whereas the word order … …Journal of Computer Science, Vol. 8, Issue 3 · 2 Jan 2012 · 8,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Design and Development of Word Sense Disambiguation Algorithm for English Language Understanding for Database AccessM. Munusamy, G. Tholkappia Arasu, V. Palanisamy, S. SelvarajanProblem statement: This study attempts to present an object-net method for word sense disambiguation. It is proposed to model the elementary meanings which assist the machine to autonomously undertake the analysis and synthesis processes of meaning. Approach: In the proposed methodology, the disambiguation process was performed in context manner. Starting from natural text, the context of the sentence was identified, … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 6,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnglish 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 abstractThe Studies about Phonological Deficit Theory in Children with Developmental Dyslexia: ReviewDr. Emrah CaylakProblem statement: Developmental Dyslexia (DD) or Reading Disability (RD) that was part of a larger heterogeneous group of learning disorders and characterized by unexpected problems in academic performance, despite average intelligence. Approach: Current opinions on the biological basis of dyslexia pointed to problems with phonological processing deficits with resulting poor phonemic awareness. Though there was much support for this hypothesis … …Neuroscience International, Vol. 1, Issue 1 · 30 Jun 2010 · 14,966 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Translation of Noun Phrases from Arabic to English Using Transfer-Based ApproachOmar Shirko, Nazlia Omar, Haslina Arshad, Mohammed AlbaredProblem statement: Any Arabic to English Machine Translation (MT) system should be capable of dealing with word order which Arabic exhibits. This poses a significant challenge to MT due to the vast number of ways to express the same sentence in Arabic. The ordering features are very important and should be carefully applied to ensure the generation of sentence in … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 8,413 accessesView PDFCite