Title
A fixed-point decoding approach for statistical machine translation on mobile terminals
Abstract
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.
Year
DOI
Venue
2010
10.1109/IUCS.2010.5666031
IUCS
Keywords
DocType
Volume
embedded processor,statistical machine translation,arithmetic operation,fixed point decoding,fixed point arithmetic,language translation,fixed point number conversion,mobile terminals,mobile terminal,smt,floating point number,code convertors,decoding,fixed-point,floating point arithmetic
Conference
null
Issue
ISSN
ISBN
null
null
978-1-4244-7821-7
Citations 
PageRank 
References 
0
0.34
11
Authors
5
Name
Order
Citations
PageRank
Xiang Li (李翔)103.04
Jin An Xu21524.50
Wenbin Jiang335536.55
Qun Liu42149203.11
Yajuan Lü527620.00