“NLP Status Report 2017-1-10”版本间的差异

• nmt+mn: tried to improve the nmt baseline;
• met with problems for baseline, rulling out the factor of output order and file format and got the reason of learning rate.
• read the code of Andy's;
• wrote the code for bleu evaluation;
• managed to fix the code of nmt+mn;
• ran experiments [report]

• nmt+mn: do further experiments.

• improved speed of prediction process
• ran expriments:
  

two sytles expriments of top1_memory_model
overfitting expriments of top1_memory_model
two styles expriments of average_memory_model
overfitting expirments of average_memory_model

• improve poem model

• handed in previous codes to Mrs.Feng
• help Jiyuan gather poems about tianyuan

• help Jiyuan with his work
• gather more poems

• finished running theano baseline
• read and understood the beam search in theano baseline
• started to write the Dynet Chinese Document
• started to implement beam search to tensorflow baseline

• finished the beam search implementation
• go on with Dynet Chinese Document

• run nmt with monolingual data
• bleu computation
• learn about tensorflow

• improve my paper
• analyze experiment results

• 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

• use sklearn tfidf to test the dataset