NLP Status Report 2017-7-10

Date	People	Last Week	This Week
2017/7/10	Jiyuan Zhang	reproduced the couplet model using moses	continue to modify the couplet
	Aodong LI	Tried a seq2seq with style code model but it didn't work. Coded attention-based seq2seq NMT in shallow fusion with a language model.	Complete coding and have a try. Find more monolingual corpus and upgrade the model.
	Shiyue Zhang
	Shipan Ren	run two versions of the code on small data sets (Chinese-English) and tested these checkpoint found version 1.0 save time about 0.03s per step, and these two version has similar complexity and bleu values found that the bleu is still good when the model is over fitting . (reason: the test set and the train set of small data set are similar in content and style) run two versions of the code on big data sets (Chinese-English) . OOM（Out Of Memory） error occurred when version 0.1 was trained using large data set，but version 1.0 worked reason: improper distribution of resources by the tensorflow0.1 frame leads to exhaustion of memory resources I had tried 4 times （just enter the same command）, and version 0.1 worked found version 1.0 save time about 0.06s per step, and these two version has similar complexity and bleu values downloaded the wmt2014 data set ,used the English-French data set to run the code and found the translation is not good (reason:improper word segmentation)	do word segmentation on wmt2014 data set run two versions of the code on wmt2014 data set record the result and do analysis learn and train moses(use big data sets (Chinese-English))