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| 第27行: |
第27行: |
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| | |Shiyue Zhang || | | |Shiyue Zhang || |
| − | * got good results from gnmt | + | * got a reasonable baseline on big zhen data |
| − | * but haven't found the way to implement our model on gnmt
| + | |
| − | * trying to modify our code to make it work on big data
| + | |
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| − | * go on trying to modify our code to make it work on big data | + | * implement mem model on this baseline, test on big data |
| − | * go on looking into gnmt code | + | * implement |
| | |- | | |- |
| | |Peilun Xiao || | | |Peilun Xiao || |
| 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.
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- rerun Moses for cwmt zh-en and cs-en
- decide to use tensorflow or theano
- run experiments based on the chosen platform
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| Jiyuan Zhang |
- I did nothing (I found my ACL mark was at borderline, so I didn't have a mind to work)
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- improve the effect of the qx's model
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| Andi Zhang |
- fixed the bug, turns out it rises from the unfamiliarity with numpy.resize() function
- the demo model can deal with oov problem(both source word and target word are oov)
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- some paper work about graduation design
- run some experiments using theano on old data set and new zh2en from lihang
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| Shiyue Zhang |
- got a reasonable baseline on big zhen data
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- implement mem model on this baseline, test on big data
- implement
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| Peilun Xiao |
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