In recent years, significant improvements have been achieved in statistical machine translation (SMT), but still even the best machine translation technology is far from replacing or even competing with human translators. Another way to increase the productivity of the translation process is computer-assisted translation (CAT) system. In a CAT system, the human translator begins to type the translation of a given source text by typing each character the MT system interactively offers the choices to enhance and complete the translation. Human translator may continue typing or accept the whole completion or part of it. In this paper, we propose new approaches for increasing the performance of the interactive CAT. Our approaches are included a new search way and a hybrid back-off model. We could achieve 1.3% improvement by using our offered search approach

Keywords: Statistical Machine Translation (SMT), Computer-Assisted Translation (CAT), Interactive CAT, Prefix Search.

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