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第31行: |
第31行: |
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| |Shiyue Zhang || | | |Shiyue Zhang || |
− | * tried to improve rnng+mm model, but still failed [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9f/RNNG%2Bmm_experiment_report.pdf report]] | + | * finished running theano baseline |
− | * stopped rnng work to help Teacher Feng with NMT | + | * read and understood the beam search in theano baseline |
− | * ran theano NMT code successfully, and found a problem of test
| + | * started to write the [http://dynet-doc-zh.readthedocs.io/zh_CN/latest/ Dynet Chinese Document] |
| + | * started to implement beam search to tensorflow baseline |
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− | * run and test the theano NMT model | + | * finished the beam search implementation |
− | * try to modify tensorflow NMT model, run and test | + | * go on with Dynet Chinese Document |
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| |Guli || | | |Guli || |
Date |
People |
Last Week |
This Week
|
2017/1/3
|
Yang Feng |
- nmt+mn: tried to improve the nmt baseline;
- met with problems for baseline, rulling out the factor of output order and file format and got the reason of learning rate.
- read the code of Andy's;
- wrote the code for bleu evaluation;
- managed to fix the code of nmt+mn;
- ran experiments [report]
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|
Jiyuan Zhang |
- improved speed of prediction process
- ran expriments:
two sytles expriments of top1_memory_model
overfitting expriments of top1_memory_model
two styles expriments of average_memory_model
overfitting expirments of average_memory_model
|
|
Andi Zhang |
- handed in previous codes to Mrs.Feng
- help Jiyuan gather poems about tianyuan
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- help Jiyuan with his work
- gather more poems
|
Shiyue Zhang |
- finished running theano baseline
- read and understood the beam search in theano baseline
- started to write the Dynet Chinese Document
- started to implement beam search to tensorflow baseline
|
- finished the beam search implementation
- go on with Dynet Chinese Document
|
Guli |
- run nmt with monolingual data
- bleu computation
- learn about tensorflow
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- improve my paper
- analyze experiment results
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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
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