Computer Science ›› 2007, Vol. 34 ›› Issue (6): 223-225.

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ZHANG Jing-Zhi, GAO Qiang, GENG Hua, PAN Jin-Gui (State Key Laboratory for Novel Software Technology of Nanjing University,Nanjing 210093)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: One of the complicated problems in statistical natural language processing is the data-sparseness problem. There are mainly two kinds of smoothing technologies to solve it, backing-off models and linear interpolated models. This article compares several t

Key words: Statistical language model,Data sparse problem, Smoothing technology,Backing- off methods,Linear interpolated methods, N-gram

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