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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 YouDACC: the Youtube Dialectal Arabic Commentary Corpus ... Salama, Ahmed; Bouamor, Houda; Behrang Mohit. - : Carnegie Mellon University, 2018 BASE Show details 2 YouDACC: the Youtube Dialectal Arabic Commentary Corpus ... Salama, Ahmed; Bouamor, Houda; Behrang Mohit. - : Carnegie Mellon University, 2018 BASE Show details 3 A Hybrid Model for Enhancing Lexical Statistical Machine Translation (SMT) ... ElSayed, Ahmed G. M.; Salama, Ahmed S.; El-Ghazali, Alaa El-Din M.. - : arXiv, 2015 Abstract: The interest in statistical machine translation systems increases currently due to political and social events in the world. A proposed Statistical Machine Translation (SMT) based model that can be used to translate a sentence from the source Language (English) to the target language (Arabic) automatically through efficiently incorporating different statistical and Natural Language Processing (NLP) models such as language model, alignment model, phrase based model, reordering model, and translation model. These models are combined to enhance the performance of statistical machine translation (SMT). Many implementation tools have been used in this work such as Moses, Gizaa++, IRSTLM, KenLM, and BLEU. Based on the implementation, evaluation of this model, and comparing the generated translation with other implemented machine translation systems like Google Translate, it was proved that this proposed model has enhanced the results of the statistical machine translation, and forms a reliable and efficient model ... : 9 pages, 10 figures ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1506.01171 https://arxiv.org/abs/1506.01171 BASE Hide details 4 Typesetting for Improved Readability using Lexical and Syntactic Information ... Salama, Ahmed; Oflazer, Kemal; Hagan, Susan. - : Carnegie Mellon University, 2013 BASE Show details 5 Typesetting for Improved Readability using Lexical and Syntactic Information ... Salama, Ahmed; Oflazer, Kemal; Hagan, Susan. - : Carnegie Mellon University, 2013 BASE Show details

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