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Improved Application of K-N Smooth Linear Interpolation Method in Measurement of English Readability Based on Statistical Language Model

Jie Wu

Abstract


This paper first reviews previous researches on English Readability and puts forward the necessities of studying English readability on the basis of Statistical Language Model. Then, it analyzes how to construct measurement of English Readability based on Statistical Language Model and proposes that sparse data is a problem that the study must confront. To solve this problem, this paper makes some improvements to the Kneser-Ney?K-N?smooth linear interpolation method, tests the effectiveness of the improved K-N smooth linear interpolation method with data from spoken and written English corpus, and solves the problem of sparse data in constructing measurement of English Readability, based on Statistical Language Model.

Keywords


Statistical Language Model, Kneser-Ney, corpus, sparse data.

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