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diff --git a/README.md b/README.md
index f2fac30..869a1d9 100644
--- a/README.md
+++ b/README.md
@@ -56,14 +56,15 @@ The DAG can deal with modules which take as input and produce as
 output tensors and nested tables of tensors.
 
 If a node has a single predecessor, the output of the latter is taken
-as-is as the input of the former. If it has multiple predecessors, all
+as-is as the input to the former. If it has multiple predecessors, all
 the outputs are collected into a table, and the table is used as
-input. The indexes of the outputs in that table reflects the order in
-which the edges where created in the DAG:connect() commands.
+input. The indexes of the outputs in that table reflect the
+chronological order in which the edges where created in the
+DAG:connect() commands.
 
 The input to the DAG (respectively the produced output) is a nested
 table of inputs reflecting the structure of the nested table of
-modules provided to DAG:setInput (respectively DAG:setOutput)
+modules given as argument to DAG:setInput (respectively DAG:setOutput)
 
 So for instance, in the example above, the model expects a tensor as
 input, since it is the input to the module a, and its output will is a
@@ -79,11 +80,11 @@ Create a new empty DAG, which inherits from nn.Container.
 ### nn.DAG:connect([module1 [, module2 [, ...]]]) ###
 
 Add new nodes corresponding to the modules passed as arguments if they
-are not already existing. Add edges between every two nodes
-corresponding to a pair of successive modules in the arguments.
+have not been already added in a previous call. Add edges between
+every two nodes associated to two successive modules in the arguments.
 
-Calling it with n > 2 arguments is strictly equivalent to calling it
-n-1 times on the pairs of successive arguments.
+Calling this function with n > 2 arguments is strictly equivalent to
+calling it n-1 times on the pairs of successive arguments.
 
 ### nn.DAG:setInput(i) ###