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| 第28行： |
第28行： |
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| | |Shipan Ren || | | |Shipan Ren || |
| − | * trained two models of the baseline using WMT2014 en-fr datasets | + | * looked for the performance(the bleu value) of other models |
| − | under training
| + | on the WMT2014 dataset from the published papers,but not found. |
| − | | + | * installed and built Moses on the server |
| − | | + | |
| − | * read some papers（memory-augmented-nmt and Memory augmented Chinese-Uyghur Neural Machine Translation） | + | |
| | || | | || |
| − | * read memory-augmented-nmt code | + | * train statistical machine translation model and test it |
| − | * read papers about memory augmented NMT | + | toolkit: Moses |
| | + | data sets:WMT2014 en-de、en-fr data sets |
| | + | * collate experimental results.compare our baseline model with Moses |
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| Date |
People |
Last Week |
This Week
|
| 2017/7/3
|
Jiyuan Zhang |
- made the poster for ACL
- attempted to fix repeated word, but failed
- done some work of n-gram model of the couplet
|
- generate streame according to a couplet
- complete the task of filling in the blanks of a couplet
|
| Aodong LI |
- Got 55,000+ Englsih poems and 260,000+ lines after preprocessing
- Added phase separators as the style indicator, and every line has at least one separator
- Training loss didn't decrease very much, only from 440 to 50
- The translation quality deteriorated when added language model
|
- Try to use a larger language model to decrease the training loss
- Try to use character-based MT in English-Chinese translation
|
| Shiyue Zhang |
|
|
| Shipan Ren |
- looked for the performance(the bleu value) of other models
on the WMT2014 dataset from the published papers,but not found.
- installed and built Moses on the server
|
- train statistical machine translation model and test it
toolkit: Moses
data sets:WMT2014 en-de、en-fr data sets
- collate experimental results.compare our baseline model with Moses
|
| Jiayu Guo |
- process document.
- Shiji has been split up to 2,5000 pairs of sentence.
- Zizhitongjian has been split up to 2,0000 pairs.
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