“NLP Status Report 2017-6-5”版本间的差异

• Small data:

 Only make the English encoder's embedding constant -- 45.98
 Only initialize the English encoder's embedding and then finetune it -- 46.06
 Share the attention mechanism and then directly add them -- 46.20

• big data baseline bleu = 30.83
• Fixed three embeddings

 Shrink output vocab from 30000 to 20000 and best result is 31.53
 Train the model with 40 batch size and best result until now is 30.63

• test more checkpoints on model trained with batch = 40
• train model with reverse output