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

机译:移动终端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加,但是翻译速度受嵌入式处理器的限制,而没有浮点单元。本文提出了一种将浮点数转换为移动终端上的SMT解码的定点号的方法,以便在没有浮点单元的情况下降低处理器的影响。基于PC和移动终端的实验表明,这种方法确保了翻译的质量,而定点算术运算的速度比浮点算术运算的速度快135.6%。因此,这种方法可以有效地提高具有浮点算术运算弱能力的移动终端上SMT系统的转换速度。

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