Zero Object Resolution in Korean

 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 3.6.10 and evaluated by using 10-fold cross validation method. The accuracy of the proposed method reached 73.37%.

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