“NLP Status Report 2017-7-31”版本间的差异

• 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

• 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

• trained two models of the baseline using WMT2014 en-fr datasets

 under training 

• read some papers（memory-augmented-nmt and Memory augmented Chinese-Uyghur Neural Machine Translation）

• read memory-augmented-nmt code
• read papers about memory augmented NMT

• process document.
• Shiji has been split up to 2,5000 pairs of sentence.
• Zizhitongjian has been split up to 2,0000 pairs.

• adjust jieba source code