fix typos

neural_seq_qa/README.md

@@ -45,7 +45,7 @@ PYTHONPATH=data/evaluation:$PYTHONPATH python train.py 2>&1 | tee train.log
 ```
 # Validation and Test
 
-WebQA provoides two versions of validation and test sets.  Automatic valiation and test can be lauched by
+WebQA provides two versions of validation and test sets.  Automatic validation and test can be lauched by
 
 ```bash
 PYTHONPATH=data/evaluation:$PYTHONPATH python val_and_test.py models [ann|ir]

neural_seq_qa/index.html

@@ -87,7 +87,7 @@ PYTHONPATH=data/evaluation:$PYTHONPATH python train.py 2>&1 | tee train.log
 ```
 # Validation and Test
 
-WebQA provoides two versions of validation and test sets.  Automatic valiation and test can be lauched by
+WebQA provides two versions of validation and test sets.  Automatic validation and test can be lauched by
 
 ```bash
 PYTHONPATH=data/evaluation:$PYTHONPATH python val_and_test.py models [ann|ir]

neural_seq_qa/network.py

@@ -16,7 +16,7 @@ feeding = {
 
 def get_embedding(input, word_vec_dim, wordvecs):
     """
-    Defined word embedding
+    Define word embedding
     
     :param input: layer input
     :type input: LayerOutput
@@ -51,7 +51,7 @@ def encoding_question(question, q_lstm_dim, latent_chain_dim, word_vec_dim,
     :type drop_rate: float
     :param wordvecs: word embedding matrix
     :type wordvecs: numpy array
-    :param default_init_std: default initial std
+    :param default_init_std: default initial standard deviation
     :type default_init_std: float
     :param default_l2_rate: default l2 rate
     :type default_l2_rate: float
@@ -131,7 +131,7 @@ def encoding_evidence(evidence, qe_comm, ee_comm, q_encoding, e_lstm_dim,
     :type drop_rate: float
     :param wordvecs: word embedding matrix
     :type wordvecs: numpy array
-    :param default_init_std: default initial std
+    :param default_init_std: default initial standard deviation
     :type default_init_std: float
     :param default_l2_rate: default l2 rate
     :type default_l2_rate: float

neural_seq_qa/train.py

@@ -21,7 +21,7 @@ def save_model(trainer, model_save_dir, parameters, pass_id):
 
 def show_parameter_init_info(parameters):
     """
-    Print the information of initialization mean and std of parameters
+    Print the information of initialization mean and standard deviation of parameters
 
     :param parameters: the parameters created in a model
     """