NLP Status Report 2017-7-17 - 版本历史

2017年8月21日 (一) 00:50 Renshipan

2017-08-21T00:50:33Z

2017年7月18日 (二) 04:32 Zhangjy

2017-07-18T04:32:21Z

2017年7月17日 (一) 14:45 Renshipan

2017-07-17T14:45:42Z

Renshipan：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/7/3 |Jiyuan Zhang || reproduced the couplet model using moses || continue to...”为内容创建页面

2017-07-17T14:05:04Z

以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/7/3 |Jiyuan Zhang || *reproduced the couplet model using moses || *continue to...”为内容创建页面

新页面

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2017/7/3
|Jiyuan Zhang ||
*reproduced the couplet model using moses
||
*continue to modify the couplet
|-
|Aodong LI ||
* Tried a seq2seq with style code model but it didn't work.
* Coded attention-based seq2seq NMT in shallow fusion with a language model.
||
* Complete coding and have a try.
* Find more monolingual corpus and upgrade the model.
|-
|Shiyue Zhang ||

||

|-
|Shipan Ren ||
* run two versions of the code on small data sets (Chinese-English) and tested these checkpoint
found version 1.0 save time about 0.03s per step,
and these two version has similar complexity and bleu values
* run two versions of the code on big data sets (Chinese-English) .

* downloaded the wmt2014 data set ,used the English-French data set to run the code and
found the translation is not good (reason:improper word segmentation)
||
* do word segmentation on wmt2014 data set
* run two versions of the code on wmt2014 data set
* record the result and do analysis
* learn and train moses(use big data sets (Chinese-English))
|-

|}

@@ 第6行： / 第6行： @@
+*
 ||
+*generate streame according to a couplet
 |-
 |Aodong LI ||

@@ 第2行： / 第2行： @@
 !Date !! People !! Last Week !! This Week
 |-
-| rowspan="6"|2017/7/3
+| rowspan="6"|2017/7/17
 |Jiyuan Zhang ||
+*

@@ 第4行： / 第4行： @@
 | rowspan="6"|2017/7/3
 |Jiyuan Zhang ||
-*reproduced the couplet model using moses
 ||
-*continue to modify the couplet
 |-
 |Aodong LI ||
-* Tried a seq2seq with style code model but it didn't work.
-* Coded attention-based seq2seq NMT in shallow fusion with a language model.
 ||
-* Complete coding and have a try.
-* Find more monolingual corpus and upgrade the model.
 |-
 |Shiyue Zhang ||
@@ 第21行： / 第20行： @@
 |-
 |Shipan Ren ||
-* run two versions of the code on small data sets (Chinese-English)  and tested these checkpoint
+* found ways to tokenize the WMT2014 data
-     found version 1.0 save time about 0.03s  per step,
+   rewrote prepare_data.py form moses-smt
-           and these two version  has  similar complexity and bleu values
+   used the tokenizer of moses-smt
-* run two versions of the code on big data sets (Chinese-English) .
+*train two versions of the code on WMT2014 en-de and en-fr datasets
-* downloaded the wmt2014 data set ,used the English-French data set to run the code and
+    tested these checkpoints of en-de dataset
-    found the translation is not good (reason:improper word segmentation)
 ||
-* do word segmentation on wmt2014  data set
+* tested these checkpoints of en-fr dataset
-* run two versions of the code on wmt2014  data set
 * record the result and do analysis
-* learn and train moses(use big data sets (Chinese-English))
+* read papers about memory augmented NMT
 |-
 |}

NLP Status Report 2017-7-17 - 版本历史

2017年8月21日 (一) 00:50 Renshipan

2017年7月18日 (二) 04:32 Zhangjy

2017年7月17日 (一) 14:45 Renshipan

Renshipan：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/7/3 |Jiyuan Zhang || *reproduced the couplet model using moses || *continue to...”为内容创建页面

Renshipan：以“{| class="wikitable" !Date !! People !! Last Week !! This Week |- | rowspan="6"|2017/7/3 |Jiyuan Zhang || reproduced the couplet model using moses || continue to...”为内容创建页面