Zero Object Resolution in Korean
Arum Park, Seunghee Lim, Munpyo Hong · Waseda University Repository (Waseda University) · 2015
Korean is one of the well-known "pro-drop" languages.When translating Korean zero object into languages in which objects have to be overtly expressed, the resolution of zero object is crucial.This paper proposes a machine learning method to resolve Korean zero object.We proposed 8 linguistically motivated features for ML (Machine Learning).Our approach has been implemented with WEKA 3.6.10and evaluated by using 10-fold cross validation method.The accuracy of the proposed method reached 73.37%.