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| 第25行： |
第25行： |
| | |- | | |- |
| | |Shiyue Zhang || | | |Shiyue Zhang || |
| − | * got a reasonable baseline on big zhen data | + | * working on a paper for EMNLP |
| | || | | || |
| − | * implement mem model on this baseline, and test on big data | + | * working on a paper for EMNLP |
| | |- | | |- |
| | |Peilun Xiao || | | |Peilun Xiao || |
| Date |
People |
Last Week |
This Week
|
| 2017/4/5
|
Yang Feng |
- Got the sampled 100w good data and ran Moses (BLEU: 30.6)
- Reimplemented the idea of ACL (added some optimization to the previous code) and check the performance in the following gradual steps: 1. use s_i-1 as memory query; 2. use s_i-1+c_i as memory query; 3. use y as the memory states for attention; 4. use y + smt_attentions * h as memory states for attention.
- ran experiments for the above steps but the loss was inf. I am looking for reasons.
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- do experiments and write the paper
|
| Jiyuan Zhang |
- convert the style of the paper to EMNLP
- contact the ppg's author to get the code
|
- improve the effect of the qx's model
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| Andi Zhang |
- revise the original oov model so that it can automatically detect oov words and translate them
- deal with the situation that source word is oov but target word is not oov first
- it didn't predict right
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- make the model work as what we wanted
- deal with the situation that source word is oov and target word is also oov, then other situations
|
| Shiyue Zhang |
- working on a paper for EMNLP
|
- working on a paper for EMNLP
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| Peilun Xiao |
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