Enable train & test with yoavg's code

.gitignore

@@ -4,7 +4,6 @@
 *.pyc
 jmeter.log
 __pycache__
-tmp/
 node_modules/
 sftp-config.json
 .DS_Store

README.md

@@ -1,10 +1,12 @@
 # text-dependency-parser
 依存关系分析
 
+![](https://camo.githubusercontent.com/ae91a5698ad80d3fe8e0eb5a4c6ee7170e088a7d/687474703a2f2f37786b6571692e636f6d312e7a302e676c622e636c6f7564646e2e636f6d2f61692f53637265656e25323053686f74253230323031372d30342d30342532306174253230382e32302e3437253230504d2e706e67)
+
 ## Data
 format: [CoNLL-2009 Shared Task](http://ufal.mff.cuni.cz/conll2009-st/task-description.html)
 
-### universaldependencies
+### Universal Dependencies
 http://universaldependencies.org/
 
 ### 采用清华大学语义依存网络语料的20000句作为训练集。
@@ -13,5 +15,26 @@ http://www.hankcs.com/nlp/corpus/chinese-treebank.html#h3-6
 ### 汉语树库
 http://www.hankcs.com/nlp/corpus/chinese-treebank.html
 
-### Transition-based dependency parsers
-https://www.cs.bgu.ac.il/~yoavg/software/transitionparser/
+## Run
+
+Train model.
+
+```
+admin/train.sh
+```
+
+Test model.
+
+```
+admin/test.sh
+```
+
+# Give credits to
+
+[Transition Based Dependency Parsers](https://www.cs.bgu.ac.il/~yoavg/software/transitionparser/)
+
+References:
+~~~~~~~~~~~
+[1] Liang Huang, Wenbin Jiang and Qun Liu. 2009.
+    Bilingually-Constrained (Monolingual) Shift-Reduce Parsing.
+    

admin/test.sh

@@ -0,0 +1,18 @@
+#! /bin/bash 
+###########################################
+#
+###########################################
+
+# constants
+baseDir=$(cd `dirname "$0"`;pwd)
+# functions
+
+# main 
+[ -z "${BASH_SOURCE[0]}" -o "${BASH_SOURCE[0]}" = "$0" ] || return
+cd $baseDir/../app
+python eager.py \
+    --verbosity=1 \
+    --test=True \
+    --model=$baseDir/../tmp/eager.model \
+    --test_data=$baseDir/../data/UD_English-EWT/en-ud-test.conllu \
+    --test_results=$baseDir/../tmp/en-ud-test.results \

admin/dev.sh → admin/train.sh

@@ -10,4 +10,8 @@ baseDir=$(cd `dirname "$0"`;pwd)
 # main 
 [ -z "${BASH_SOURCE[0]}" -o "${BASH_SOURCE[0]}" = "$0" ] || return
 cd $baseDir/../app
-python parser.py Test.test_UD_English_EWT
+python eager.py \
+    --verbosity=1 \
+    --train=True \
+    --train_data=$baseDir/../data/UD_English-EWT/en-ud-train.conllu \
+    --model=$baseDir/../tmp/eager.model \