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A fixed-point decoding approach for statistical machine translation on mobile terminals

机译:在移动终端上进行统计机器翻译的定点解码方法

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The demand for statistical machine translation on mobile terminals is increasing rapidly, but translation speed is restricted by the embedded processors without a floating-point unit. This paper proposes an approach to convert floating-point numbers into fixed-point numbers for SMT decoding on mobile terminals in order to reduce the impact of the processors without a floating-point unit on translation speed. The experiments based on PC and mobile terminal show that this approach ensures the quality of translation and the speed of fixed-point arithmetic operations is 135.6% faster than that of floating-point arithmetic operations. Therefore, this approach can efficiently improve translation speed of SMT systems on mobile terminals with weak ability in floating-point arithmetic operations.
机译:在移动终端上对统计机器翻译的需求正在迅速增长,但是翻译速度受到没有浮点单元的嵌入式处理器的限制。本文提出了一种将浮点数转换为定点数以在移动终端上进行SMT解码的方法,以减少没有浮点单元的处理器对转换速度的影响。基于PC和移动终端的实验表明,这种方法可确保转换质量,并且定点算术运算的速度比浮点算术运算的速度快135.6%。因此,这种方法可以有效提高在浮点算术运算能力较弱的移动终端上SMT系统的转换速度。

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