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| （3位用户的3个中间修订版本未显示） |
| 第15行： |
第15行： |
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| | |Jiyuan Zhang || | | |Jiyuan Zhang || |
| − | *coded tone_model,but had some trouble | + | *integrated tone_model to attention_model for insteading manul rule,but the effect wasn't good |
| − | *run global_attention_model that decodes four sentences, [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d5/Four_local_atten.pdf four][http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/05/Five_local_attention.pdf five]generated by local_attention model | + | *replacing all_pz rule with half_pz |
| | + | *token a classical Chinese as input,generated poem [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/33/Story_input.pdf] |
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| | *improve poem model | | *improve poem model |
| 第24行： |
第25行： |
| | *coded a script for bleu scoring, which tests the five checkpoints auto created by training process and save the one with best performance | | *coded a script for bleu scoring, which tests the five checkpoints auto created by training process and save the one with best performance |
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| − | *extract encoder outputs | + | * |
| | |- | | |- |
| | |Shiyue Zhang || | | |Shiyue Zhang || |
| 第38行： |
第39行： |
| | |- | | |- |
| | |Guli || | | |Guli || |
| − | *read papers about Transfer learning and solving OOV | + | * finished the first draft of the survey |
| − | *conducted comparative test | + | * voice tagging |
| − | *writing survey
| + | |
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| − | * complete the first draft of the survey | + | * morpheme-based nmt |
| | + | * improve nmt with monolingual data |
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| | |Peilun Xiao || | | |Peilun Xiao || |
| 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 of only adding attention to the decoder and under debugging;
- refine Moses manual [manual] ;
- prepare the dictionary for the memory loading;
- Huilan: documentation
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| 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]
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|
| 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 [[2]] [[3]] [[4]]
- trying the joint training, which got a problem of optimization.
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- try the joint training
- read more papers and write a summary
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| 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
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