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| （3位用户的6个中间修订版本未显示） |
| 第4行： |
第4行： |
| | | rowspan="6"|2017/8/14 | | | rowspan="6"|2017/8/14 |
| | |Jiyuan Zhang || | | |Jiyuan Zhang || |
| − | *done some work about code refactoring for poem system | + | *code refactoring |
| | + | *wrote a document[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:VvPoem.docx] |
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| − | *plan to complete code refactoring for poem system
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| | |Aodong LI || | | |Aodong LI || |
| 第18行： |
第19行： |
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| − | |Shipan Ren || | + | |Shipan Ren |
| − | * organized all the experimental results(our baseline system,Moses,THUMT) | + | || |
| − | * trained and tested translation models（Toolkit:THUMT ） | + | * read the released information of other toolkits for nmt |
| − | * compared with our system | + | * cleaned up the code |
| − | || | + | * wrote the documents [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5c/Manual_V1.0.docx] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/38/Manual_V0.10.docx] |
| − | * prepare to release the baseline system（tensorflow1.0 version） | + | || |
| | + | * write the papers of our baseline system |
| | + | * read augmented nmt code |
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| | |Jiayu Guo|| | | |Jiayu Guo|| |
| − | * process data and run model; | + | * learn the source code of the mode |
| − | * test results.
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| − | checkpoint-100000 translation model
| + | |
| − | BLEU： 11.11
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| − | *source:在秦者名错，与张仪争论,於是惠王使错将伐蜀，遂拔，因而守之。
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| − | *target:在秦国的名叫司马错，曾与张仪发生争论，秦惠王采纳了他的意见，于是司马错率军攻蜀国，攻取后，又让他做了蜀地郡守。
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| − | *trans：当时秦国的人都很欣赏他的建议，与张仪一起商议，所以吴王派使者率军攻打蜀地，一举攻，接着又下令守城 。
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| − | *source:神大用则竭，形大劳则敝，形神离则死 。
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| − | *target:精神过度使用就会衰竭，形体过度劳累就会疲惫，神形分离就会死亡。
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| − | *trans: 精神过度就可衰竭,身体过度劳累就会疲惫，地形也就会死。
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| − | *source:今天子接千岁之统，封泰山，而余不得从行，是命也夫，命也夫！
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| − | *target:现天子继承汉朝千年一统的大业，在泰山举行封禅典礼而我不能随行，这是命啊，是命啊！
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| − | *trans: 现在天子可以继承帝位的成就爵位，爵位至泰山，而我却未能执行先帝的命运。
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| − | *1.data used Zizhitongjian only(6,000 pairs), we can get BLEU 6 at most.
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| − | *2.data used Zizhitongjian only(12,000 pairs), we can get BLEU 7 at most.
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| − | *3.data used Shiji and Zizhitongjian(43,0000 pairs), we can get BLEU about 9.
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| − | *4.data used Shiji and Zizhitongjian(43,0000 pairs), and split the ancient language text one character by one, we can get BLEU 11.11 at most.
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| − | *The main factors now is the data(pairs of sentence/the quality——the modern language text includes context information).
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| − | *plan to read source code of seq2seq model and learn tensorflow; | + | * learn the source code of seq2seq model and learn tensorflow |
| − | *plan to read a paper named Automatic Long Sentence Segmentation for NMT
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| − | |zhangshuai
| + | |
| − | ||
| + | |
| − | * learn model source code
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| − | ||
| + | |
| − | * learn tensorflow and source code
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| − | |-
| + | |
| | |} | | |} |
