Titlebook: High-Performance Computing and Big Data Analysis; Second International Lucio Grandinetti,Seyedeh Leili Mirtaheri,Reza Sha Conference procee

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書目名稱High-Performance Computing and Big Data Analysis影響因子(影響力)




書目名稱High-Performance Computing and Big Data Analysis影響因子(影響力)學科排名




書目名稱High-Performance Computing and Big Data Analysis網(wǎng)絡公開度




書目名稱High-Performance Computing and Big Data Analysis網(wǎng)絡公開度學科排名




書目名稱High-Performance Computing and Big Data Analysis被引頻次




書目名稱High-Performance Computing and Big Data Analysis被引頻次學科排名




書目名稱High-Performance Computing and Big Data Analysis年度引用




書目名稱High-Performance Computing and Big Data Analysis年度引用學科排名




書目名稱High-Performance Computing and Big Data Analysis讀者反饋




書目名稱High-Performance Computing and Big Data Analysis讀者反饋學科排名

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a single system. In this chapter, we describe different Arabic morphological representations used by MT-relevant natural language processing resources and tools and we discuss their usability in different MT approaches. We also present a common framework for relating different levels of representati

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Reza Mahdavi,Afsaneh Hasanjani Roshanhare several phonemes and certain characteristics. The realized system has reached a recognition rate of about 73% by word. The potential and the effectiveness of the proposed approach is demonstrated by experiments and comparison with other approaches.

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script maps perfectly to the uttered phonemes. Furthermore, the corpus dictionary, which is usually required in many fields such as machine learning and datamining, is also created. The first release of the corpus consists of recorded recitations and the necessary metadata of three chapters of THQ o

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