“NLP Status Report 2017-7-17”版本间的差异

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（以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/7/3 |Jiyuan Zhang || *reproduced the couplet model using moses || *continue to...”为内容创建页面）
 
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| rowspan="6"|2017/7/3
 
| rowspan="6"|2017/7/3
 
|Jiyuan Zhang ||
 
|Jiyuan Zhang ||
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*reproduced the couplet model using moses
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*
 
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*continue to modify the couplet
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|Aodong LI ||
 
|Aodong LI ||
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* Tried a seq2seq with style code model but it didn't work.
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* Coded attention-based seq2seq NMT in shallow fusion with a language model.
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* Complete coding and have a try.
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* Find more monolingual corpus and upgrade the model.
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|Shiyue Zhang ||  
 
|Shiyue Zhang ||  
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|Shipan Ren ||
 
|Shipan Ren ||
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* run two versions of the code on small data sets (Chinese-English)  and tested these checkpoint
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* found ways to tokenize the WMT2014 data  
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    found version 1.0 save time about 0.03s  per step,
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  rewrote prepare_data.py form moses-smt
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          and these two version  has  similar complexity and bleu values
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  used the tokenizer of moses-smt
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* run two versions of the code on big data sets (Chinese-English) .
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*train two versions of the code on WMT2014 en-de and en-fr datasets
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* downloaded the wmt2014 data set ,used the English-French data set to run the code and
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   tested these checkpoints of en-de dataset
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    found the translation is not good (reason:improper word segmentation)
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* do word segmentation on wmt2014  data set
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* tested these checkpoints of en-fr dataset
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* run two versions of the code on wmt2014  data set
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* record the result and do analysis  
 
* record the result and do analysis  
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* learn and train moses(use big data sets (Chinese-English))
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* read papers about memory augmented NMT
 
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2017年7月17日 (一) 14:45的版本

Date People Last Week This Week
2017/7/3 Jiyuan Zhang
Aodong LI
Shiyue Zhang
Shipan Ren
  • found ways to tokenize the WMT2014 data 
  rewrote prepare_data.py form moses-smt
  used the tokenizer of moses-smt
  • train two versions of the code on WMT2014 en-de and en-fr datasets 
  tested these checkpoints of en-de dataset
  • tested these checkpoints of en-fr dataset
  • record the result and do analysis
  • read papers about memory augmented NMT
取自“http://index.cslt.org/mediawiki/index.php?title=NLP_Status_Report_2017-7-17&oldid=28008”