“NLP Status Report 2017-3-27”版本间的差异

• tested for the baseline but cannot get the reasonable result.
• debug the baseline to try to reproduce the good result but failed.
• fixed the problem of nan in alpha-gamma method but the result is not good.
• changed the calculation of probability for alpha-gamma method but the result is neither good.
• ran Moses for cwmt zh-en translation, but the training data is case-sensitive, so need to rerun.

• rerun Moses for cwmt zh-en and cs-en
• decide to use tensorflow or theano
• run experiments based on the chosen platform

• I did nothing (I found my ACL mask was at borderline, so I didn't have a mind to work)

improve the effect of the qx's model

• fixed the bug, turns out it rises from the unfamiliarity with numpy.resize() function
• the demo model can deal with oov problem(both source word and target word are oov)

• some paper work about graduation design
• run some experiments using theano on old data set and new zh2en from lihang

• got good results from gnmt
• but haven't found the way to implement our model on gnmt
• trying to modify our code to make it work on big data

• go on trying to modify our code to make it work on big data
• go on looking into gnmt code