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| 第4行： |
第4行： |
| | | rowspan="6"|2016/12/26 | | | rowspan="6"|2016/12/26 |
| | |Yang Feng || | | |Yang Feng || |
| − | *[[s2smn:]] wrote the manual of s2s with tensorflow [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/51/Nmt-tensorflow-mannua-yfeng.pdf nmt-manual]] | + | *[[s2smn:]] read six papers to fix the details of our model; |
| − | *wrote part of the code of mn. | + | *wrote the proposal of lexical memory and discussed the details with Teach Wang; |
| − | *wrote the manual of Moses [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/92/Moses%E6%93%8D%E4%BD%9C%E6%89%8B%E5%86%8C--%E5%86%AF%E6%B4%8B.pdf moses-manual]] | + | *finished coding and under debugging; |
| − | *[[Huilan:]] fixed the problem of syntax-based translation. | + | *refine Moses manual [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/92/Moses%E6%93%8D%E4%BD%9C%E6%89%8B%E5%86%8C--%E5%86%AF%E6%B4%8B.pdf manual]] ; |
| − | *sort out the system and corresponding documents.
| + | *prepare the dictionary for the memory loading; |
| | + | *[[Huilan:]] documentation |
| | || | | || |
| − | *[[s2smn:]] finish the code of adding mn. | + | *[[s2smn:]] run the ecperiments. |
| − | *[[Huilan:]] handover. | + | *[[rnng+mn:]] try to find the problem. |
| | |- | | |- |
| | |Jiyuan Zhang || | | |Jiyuan Zhang || |
| Date |
People |
Last Week |
This Week
|
| 2016/12/26
|
Yang Feng |
- s2smn: read six papers to fix the details of our model;
- wrote the proposal of lexical memory and discussed the details with Teach Wang;
- finished coding and under debugging;
- refine Moses manual [manual] ;
- prepare the dictionary for the memory loading;
- Huilan: documentation
|
|
| Jiyuan Zhang |
- coded tone_model,but had some trouble
- run global_attention_model that decodes four sentences, fourfivegenerated by local_attention model
|
|
| Andi Zhang |
- coded to output encoder outputs and correspoding source & target sentences(ids in dictionaries)
- coded a script for bleu scoring, which tests the five checkpoints auto created by training process and save the one with best performance
|
|
| Shiyue Zhang |
- tried to add true action info when training gate, which got better results than no true actions, but still not very good.
- tried different scale vectors, and found setting >=-5000 is good
- tried to change cos to only inner product, and inner product is better than cos.
- [report]
- read 3 papers [[1]] [[2]] [[3]]
- trying the joint training, which got a problem of optimization.
|
- try the joint training
- read more papers and write a summary
|
| Guli |
- read papers about Transfer learning and solving OOV
- conducted comparative test
- writing survey
|
- complete the first draft of the survey
|
| Peilun Xiao |
- learned tf-idf algorithm
- coded tf-idf alogrithm in python,but found it not worked well
- tried to use small dataset to test the program
|
- use sklearn tfidf to test the dataset
|
