“NLP Status Report 2017-4-5”版本间的差异

2017年4月5日 (三) 02:07的版本

Date	People	Last Week	This Week
2017/3/27	Yang Feng	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
	Jiyuan Zhang	I did keyword expansion on the qx's model fixed some bugs read two papers	improve the effect of the qx's model
	Andi Zhang	revise the original oov model so that it can automatically detect oov words and translate them deal with the situation that source word is oov but target word is not oov first it didn't predict right	make the model work as what we wanted deal with the situation that source word is oov and target word is also oov, then other situations
	Shiyue Zhang	got a reasonable baseline on big zhen data	implement mem model on this baseline, and test on big data
	Peilun Xiao

@@ 第22行： / 第22行： @@
 |-
 |Andi Zhang ||
-*fixed the bug, turns out it rises from the unfamiliarity with numpy.resize() function
+*revise the original oov model so that it can automatically detect oov words and translate them
-*the demo model can deal with oov problem(both source word and target word are oov)
+*deal with the situation that source word is oov but target word is not oov first
+*it didn't predict right
 ||
-*some paper work about graduation design
+*make the model work as what we wanted
-*run some experiments using theano on old data set and new zh2en from lihang
+*deal with the situation that source word is oov and target word is also oov, then other situations
 |-
 |Shiyue Zhang ||