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| 第20行： |
第20行： |
| | |- | | |- |
| | |Andi Zhang || | | |Andi Zhang || |
| − | *coded to output encoder outputs and correspoding source & target sentences(ids in dictionaries) | + | *handed in previous codes to Mrs.Feng |
| − | *coded a script for bleu scoring, which tests the five checkpoints auto created by training process and save the one with best performance | + | *help Jiyuan gather poems about tianyuan |
| | || | | || |
| − | * | + | *help Jiyuan with his work |
| | + | *gather more poems |
| | |- | | |- |
| | |Shiyue Zhang || | | |Shiyue Zhang || |
| Date |
People |
Last Week |
This Week
|
| 2016/12/26
|
Yang Feng |
- nmt+mn: tried to improve the nmt baseline;
- read the code of Andy's;
- wrote the code for bleu evaluation;
- finished the code of nmt+mn;
- ran experiments;
|
|
| Jiyuan Zhang |
- integrated tone_model to attention_model for insteading manul rule,but the effect wasn't good
- replacing all_pz rule with half_pz
- token a classical Chinese as input,generated poem [1]
|
|
| Andi Zhang |
- handed in previous codes to Mrs.Feng
- help Jiyuan gather poems about tianyuan
|
- help Jiyuan with his work
- gather more poems
|
| 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 [[2]] [[3]] [[4]]
- trying the joint training, which got a problem of optimization.
|
- try the joint training
- read more papers and write a summary
|
| Guli |
- finished the first draft of the survey
- voice tagging
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- morpheme-based nmt
- improve nmt with monolingual data
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| 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
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- use sklearn tfidf to test the dataset
|
