This paper describes an alternative translation model based on a text chunk under the framework of statistical machine translation. The translation model suggested here first per...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations, which relies on a simple probabilistic model and assumes no manual coding. W...
We present a new method of selecting the best of several competing system designs on the basis of expected steadystate performance. The method uses a new form of timeseries bootst...
In recent years, statistical approaches on ATR (Automatic Term Recognition) have achieved good results. However, there are scopes to improve the performance in extracting terms st...
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...