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hello everyone iamp;#39;m pinkerton from table berlin my colleague is professor beljang from live music in this session iamp;#39;m going to present our work rpt effective and efficient retrieval of program translations from big code there are big code resources online to apply them on different platforms or to further study them we need to translate programs into our preferred languages for example here we translate bubble sort algorithm from java to python but manually translating is time consuming and error-prone the traditional automatic methods are rule-based compilers and the cross-language interpreters but they are hard-wired and require heavy human intervention recently there are data-driven approaches that use the online bitcoin resources they learn translation models in supervised or weekly surprise way but the training data set is hard to acquire and the model is hard to generalize also they treat programs as natural languages which ignores their special properties and regr
