diff --git a/cmake/FindSphinx.cmake b/cmake/FindSphinx.cmake
index 6702f45a168bf0dfc6cfca3ff8e68fbc79c92b11..05aa100eaefcf0d9119763b1440c96e341c80387 100644
--- a/cmake/FindSphinx.cmake
+++ b/cmake/FindSphinx.cmake
@@ -72,6 +72,7 @@ function( Sphinx_add_target target_name builder conf cache source destination )
     ${source}
     ${destination}
     COMMENT "Generating sphinx documentation: ${builder}"
+    COMMAND ln -s ${destination}/index_*.html ${destination}/index.html
     )
 
   set_property(
@@ -143,4 +144,4 @@ function( Sphinx_add_targets target_base_name conf source base_destination )
 
     add_dependencies( ${target_base_name}_linkcheck ${_dependencies} )
   endif()
-endfunction()
\ No newline at end of file
+endfunction()
diff --git a/doc/api/data_provider/pydataprovider2_en.rst b/doc/api/data_provider/pydataprovider2_en.rst
index 2e3cbd89babe1127b37eca4826718828de662bce..30357be32538db4423ad0eaf899138256c84edc7 100644
--- a/doc/api/data_provider/pydataprovider2_en.rst
+++ b/doc/api/data_provider/pydataprovider2_en.rst
@@ -1,4 +1,4 @@
-..  _api_pydataprovider2_en:
+..  _api_pydataprovider2:
 
 PyDataProvider2
 ===============
@@ -104,7 +104,7 @@ And PaddlePadle will do all of the rest things\:
 
 Is this cool?
 
-..  _api_pydataprovider2_en_sequential_model:
+..  _api_pydataprovider2_sequential_model:
 
 DataProvider for the sequential model
 -------------------------------------
diff --git a/doc/api/predict/swig_py_paddle_en.rst b/doc/api/predict/swig_py_paddle_en.rst
index 8dfea1d3345711255255ac423d2e82095312c98e..1c628e6971fa5643e6a9ca629488049957686193 100644
--- a/doc/api/predict/swig_py_paddle_en.rst
+++ b/doc/api/predict/swig_py_paddle_en.rst
@@ -23,7 +23,7 @@ python's :code:`help()` function. Let's walk through the above python script:
 
 * At the beginning, use :code:`swig_paddle.initPaddle()` to initialize
   PaddlePaddle with command line arguments, for more about command line arguments
-  see :ref:`cmd_detail_introduction_en` .
+  see :ref:`cmd_detail_introduction` .
 * Parse the configuration file that is used in training with :code:`parse_config()`.
   Because data to predict with always have no label, and output of prediction work
   normally is the output layer rather than the cost layer, so you should modify
@@ -36,7 +36,7 @@ python's :code:`help()` function. Let's walk through the above python script:
     - Note: As swig_paddle can only accept C++ matrices, we offer a utility
       class DataProviderConverter that can accept the same input data with
       PyDataProvider2, for more information please refer to document
-      of :ref:`api_pydataprovider2_en` .
+      of :ref:`api_pydataprovider2` .
 * Do the prediction with :code:`forwardTest()`, which takes the converted
   input data and outputs the activations of the output layer.
 
diff --git a/doc/conf.py.cn.in b/doc/conf.py.cn.in
index 92d72f797ea2018f9a7e9bef076c738cc9a1d6d2..418d718fbd9c61bff3acb9c2dab0638c0b650bab 100644
--- a/doc/conf.py.cn.in
+++ b/doc/conf.py.cn.in
@@ -79,7 +79,7 @@ language = 'zh_CN'
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
-exclude_patterns = ['_build']
+exclude_patterns = ['_build', '**/*_en*', '*_en*']
 
 # The reST default role (used for this markup: `text`) to use for all
 # documents.
diff --git a/doc/conf.py.en.in b/doc/conf.py.en.in
index f942f166fc7599c3bac7eb197e3918bc736ba3f6..e96c25cb75bee20d2e2949423d80ddab1d3450a1 100644
--- a/doc/conf.py.en.in
+++ b/doc/conf.py.en.in
@@ -80,7 +80,7 @@ language = None
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
-exclude_patterns = ['_build']
+exclude_patterns = ['_build', '**/*_cn*', '*_cn*']
 
 # The reST default role (used for this markup: `text`) to use for all
 # documents.
diff --git a/doc/howto/cmd_parameter/detail_introduction_en.md b/doc/howto/cmd_parameter/detail_introduction_en.md
index 82136b7d4f65ffcdff60243feb25b31a4a468637..27b2faf1d8a9367ff9498a76d363791ab7fbe61c 100644
--- a/doc/howto/cmd_parameter/detail_introduction_en.md
+++ b/doc/howto/cmd_parameter/detail_introduction_en.md
@@ -1,5 +1,5 @@
 ```eval_rst
-..  _cmd_detail_introduction_en:
+..  _cmd_detail_introduction:
 ```
 
 # Detail Description
diff --git a/doc/howto/cmd_parameter/index_en.md b/doc/howto/cmd_parameter/index_en.md
index fb658f2aa5bc0edef7b5dcb24a582d2c4182caa7..a6c236db61f834372152dba0f5049fe37b731086 100644
--- a/doc/howto/cmd_parameter/index_en.md
+++ b/doc/howto/cmd_parameter/index_en.md
@@ -1,5 +1,5 @@
 ```eval_rst
-..  _cmd_line_index_en:
+..  _cmd_line_index:
 ```
 # How to Set Command-line Parameters
 
diff --git a/doc/howto/deep_model/rnn/rnn_en.rst b/doc/howto/deep_model/rnn/rnn_en.rst
index a0740bae61be1bcd63fa78891cb526ad17a45ae9..73f5d5371fcd3ce95253cad47b0d8e738284441c 100644
--- a/doc/howto/deep_model/rnn/rnn_en.rst
+++ b/doc/howto/deep_model/rnn/rnn_en.rst
@@ -30,7 +30,7 @@ Then at the :code:`process` function, each :code:`yield` function will return th
     yield src_ids, trg_ids, trg_ids_next
 
 
-For more details description of how to write a data provider, please refer to :ref:`api_pydataprovider2_en` . The full data provider file is located at :code:`demo/seqToseq/dataprovider.py`.
+For more details description of how to write a data provider, please refer to :ref:`api_pydataprovider2` . The full data provider file is located at :code:`demo/seqToseq/dataprovider.py`.
 
 ===============================================
 Configure Recurrent Neural Network Architecture
@@ -246,6 +246,6 @@ The code is listed below:
     outputs(beam_gen)
 
 
-Notice that this generation technique is only useful for decoder like generation process. If you are working on sequence tagging tasks, please refer to :ref:`semantic_role_labeling_en` for more details.
+Notice that this generation technique is only useful for decoder like generation process. If you are working on sequence tagging tasks, please refer to :ref:`semantic_role_labeling` for more details.
 
 The full configuration file is located at :code:`demo/seqToseq/seqToseq_net.py`.
diff --git a/doc/tutorials/rec/ml_dataset_en.md b/doc/tutorials/rec/ml_dataset_en.md
index dc11a5e06031b62d9f86e4dd83a14b2f1a72afc3..25dea5c4afbf1ce1c1ac6195cbd245b116459e2e 100644
--- a/doc/tutorials/rec/ml_dataset_en.md
+++ b/doc/tutorials/rec/ml_dataset_en.md
@@ -1,6 +1,5 @@
 ```eval_rst
-..  _demo_ml_dataset_en:
-
+..  _demo_ml_dataset:
 ```
 
 # MovieLens Dataset
diff --git a/doc/tutorials/rec/ml_regression_en.rst b/doc/tutorials/rec/ml_regression_en.rst
index 6346090a84fad71ab9dff21de0dcc536b5760b83..4bb2586e342e7321375e99f760bfd464d0480872 100644
--- a/doc/tutorials/rec/ml_regression_en.rst
+++ b/doc/tutorials/rec/ml_regression_en.rst
@@ -16,7 +16,7 @@ Data Preparation
 ````````````````
 Download and extract dataset
 ''''''''''''''''''''''''''''
-We use :ref:`demo_ml_dataset_en` here. 
+We use :ref:`demo_ml_dataset` here. 
 To download and unzip the dataset, simply run the following commands.
 
 ..  code-block:: bash
@@ -264,7 +264,7 @@ In this :code:`dataprovider.py`, we should set\:
 * use_seq\: Whether this :code:`dataprovider.py` in sequence mode or not.
 * process\: Return each sample of data to :code:`paddle`.
 
-The data provider details document see :ref:`api_pydataprovider2_en`.
+The data provider details document see :ref:`api_pydataprovider2`.
 
 Train
 `````
@@ -280,7 +280,7 @@ The run.sh is shown as follow:
 It just start a paddle training process, write the log to `log.txt`,
 then print it on screen.
 
-Each command line argument in :code:`run.sh`, please refer to the :ref:`cmd_line_index_en` page. The short description of these arguments is shown as follow.
+Each command line argument in :code:`run.sh`, please refer to the :ref:`cmd_line_index` page. The short description of these arguments is shown as follow.
 
 *  config\: Tell paddle which file is neural network configuration.
 *  save_dir\: Tell paddle save model into './output'
diff --git a/doc/tutorials/semantic_role_labeling/index_en.md b/doc/tutorials/semantic_role_labeling/index_en.md
index 9a9f0d757bac845b858811e09dd64056f6bc08e5..92d7c634832119c718711a57c16f69492d405f28 100644
--- a/doc/tutorials/semantic_role_labeling/index_en.md
+++ b/doc/tutorials/semantic_role_labeling/index_en.md
@@ -1,5 +1,5 @@
 ```eval_rst
-..  _semantic_role_labeling_en:
+..  _semantic_role_labeling:
 ```
 
 # Semantic Role labeling Tutorial #
diff --git a/python/paddle/trainer_config_helpers/data_sources.py b/python/paddle/trainer_config_helpers/data_sources.py
index c62553f54cc304259015f1e8e6733eff99f476f2..0fcf993d57bb3e08c8711a20b16ad94d9c91db1e 100644
--- a/python/paddle/trainer_config_helpers/data_sources.py
+++ b/python/paddle/trainer_config_helpers/data_sources.py
@@ -186,7 +186,7 @@ def define_py_data_sources2(train_list, test_list, module, obj, args=None):
                                 obj="process", 
                                 args={"dictionary": dict_name})
 
-    The related data provider can refer to :ref:`api_pydataprovider2_en_sequential_model` .
+    The related data provider can refer to :ref:`api_pydataprovider2_sequential_model` .
 
     :param train_list: Train list name.
     :type train_list: basestring