DIA-English-Arabic neural machine translation domain: sulfur industry

The aim of this paper is the design and development a new English-Arabic neural machine translation (NMT) called DIA system. main purpose designing system to study translator limited sulfur industry domain as stand-alone tool in order improve quality. Machine (MT) are very sensitive domains they were trained on can be integrated with general (English-Arabic) MT systems. proposed has mainly four directions: supports chemical symbols, terms, phrase, text it evaluated by using (1,200) various English declarative sentences which written Language experts. obtained results indicate that high effective an accuracy 79.33% comparison Google 38.67% for same test samples.