A Fixed-Point Decoding Approach for Statistical Machine Translation on Mobile Terminals
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 floatingpoint 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.
SMT fixed-point mobile terminals
Xiang Li Jinan Xu Wenbin Jiang Qun Liu Yajuan Lu
School of Computer and Information Technology Beijing Jiaotong University Beijing, China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acade
国际会议
2010 4th International Universal Communication Symposium(第四届国际普遍交流学术研讨会 IUCS 2010)
北京
英文
267-271
2010-10-18（万方平台首次上网日期，不代表论文的发表时间）