Abstract
The automatic discrimination between documents written by native speakers andones by non-native speakers is an important technique to construct a high-qualitycorpus, to help native speakers with writing, and to gather useful knowledge in Sec-ond Language Acquisition.This paper proposes the method of such a discriminationbased on the similarity of part-of-speech trigram distributions.The distributionalsimilarity is given by Skew Divergence.Skew Divergence is an improved functionof KL Divergence, and it does not suffer from the zero-frequency problem.To use Skew Divergence, it needs to decide the value of the parameter α in Skew Divergence.However, there have not been any sufficient discussions on how to decide it.This pa-per also proposes one of the methods how to set the parameter αThe experimentalresult shows the effectiveness of the proposed method.
