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The massive fast of new scientific publications increase the need to a reliable effective automatic machine translation (AMT) system, which translates from English, as the common language of publications, to other different languages. Statistical machine translation (SMT) model crafted to deal with certain domain of text often fails when subjected to another domain. The paper addresses the characterization of language domains and their behavior in SMT, experiments the management of SMT model todoi:10.21608/ejle.2015.60193 fatcat:eqo6sttq5jftrnkrpx2g6ftowa