“NLP Status Report 2017-5-22”版本间的差异

2017年5月22日 (一) 03:29的版本

Date	People	Last Week	This Week
2017/4/5	Jiyuan Zhang
	Aodong LI
	Shiyue Zhang	tried to not train embedding but use external word vectors most results of my attempts are bad, only 3-layer rnn + no dropout model got 25.54 bleu which about 2 points worse than original baseline trained original baseline on new data ( the data fixed the reverse sentence problem), got bleu=27.88; moses bleu=32.47	try more models to get similar results as original baseline on new data m-nmt model on new data
	Shipan Ren

@@ 第19行： / 第19行： @@
 |-
 |Shipan Ren ||
-* configured environment and ran tf_translate code
-* read machine translation paper
-* learned lstm model and seq2seq model
 ||
-* learn the implement of seq2seq model
-* read tf_translate code
-* understand the meaning of main code
 |}