diff --git a/ROADMAP.md b/ROADMAP.md
index cb9c5ad6..d906126e 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -84,7 +84,7 @@ The roadmap focuses on five separate things
 		   Also, I agree, I actually could not install iTorch on my laptop 
                    before cvpr tutorial somehow, it did not want to work :).
   - **soumith**: I think we should propose a common display API that any interface can implement, 
-                 that way the users dont need to change scripts across different UI backends.
+                 that way the users don't need to change scripts across different UI backends.
 	         Also, szym/display is a good candidate for the Web UI, ITorch is indeed a bit of a pain to install.
 
   - Should we endorse iTorch for everyone to use? 
diff --git a/Tensor.lua b/Tensor.lua
index 0d573aae..b4b3e95d 100644
--- a/Tensor.lua
+++ b/Tensor.lua
@@ -389,7 +389,7 @@ torch.repeatTensor = Tensor.repeatTensor
 --- One of the size elements can be -1,
  --- a new LongStorage is then returned.
  --- The length of the unspecified dimension
- --- is infered from the number of remaining elements.
+ --- is inferred from the number of remaining elements.
 local function specifyFully(size, nElements)
     local nCoveredElements = 1
     local remainingDim = nil
diff --git a/Tester.lua b/Tester.lua
index a3b3ff30..f512edbc 100644
--- a/Tester.lua
+++ b/Tester.lua
@@ -236,7 +236,7 @@ function Tester:_assertTensorEqOrNeq(ta, tb, negate, ...)
    if self._assertTensorEqIgnoresDims and (not negate) and success
          and not ta:isSameSizeAs(tb) then
      self:_warning("Tensors have the same content but different dimensions. "
-                   .. "For backwards compatability, they are considered equal, "
+                   .. "For backwards compatibility, they are considered equal, "
                    .. "but this may change in the future. Consider using :eq "
                    .. "to check for equality instead.")
    end
diff --git a/lib/TH/THDiskFile.c b/lib/TH/THDiskFile.c
index dff97104..7064b7f7 100644
--- a/lib/TH/THDiskFile.c
+++ b/lib/TH/THDiskFile.c
@@ -207,7 +207,7 @@ static size_t THDiskFile_position(THFile *self)
   if (offset > -1)
       return (size_t)offset;
   else if(!dfself->file.isQuiet)
-      THError("unable to obtain disk file offset (maybe a long overflow occured)");
+      THError("unable to obtain disk file offset (maybe a long overflow occurred)");
 
   return 0;
 }
diff --git a/lib/TH/generic/THTensorRandom.c b/lib/TH/generic/THTensorRandom.c
index f8097c81..514d3dd2 100644
--- a/lib/TH/generic/THTensorRandom.c
+++ b/lib/TH/generic/THTensorRandom.c
@@ -119,7 +119,7 @@ void THTensor_(multinomial)(THLongTensor *self, THGenerator *_generator, THTenso
     THArgCheckWithCleanup((sum > 0), THCleanup(THDoubleTensor_free(cum_dist);), 2,
                           "invalid multinomial distribution (sum of probabilities <= 0)");
     /* normalize cumulative probability distribution so that last val is 1
-    i.e. dosen't assume original prob_dist row sums to one */
+    i.e. doesn't assume original prob_dist row sums to one */
     if ( (sum > 0) || ( ( sum < 1.00001) && (sum > 0.99999) ) )
     {
       for (j=0; j<n_categories; j++)
diff --git a/lib/luaT/README.md b/lib/luaT/README.md
index 431e37f4..f28d143d 100644
--- a/lib/luaT/README.md
+++ b/lib/luaT/README.md
@@ -237,7 +237,7 @@ shall not be freed. It is a pointer inside `tname` string.
 
 <a name="luat_classmodulename"/>
 ### int luaT_classmodulename(const char *tname, char *parent_name) ###
-Alias to `luaT_fullparentname ` for ensuring backwards compatibilty; 
+Alias to `luaT_fullparentname ` for ensuring backwards compatibility; 
 use of `luaT_fullparentname` is preferred.
 
 <a name="luat_fullparentname"/>
diff --git a/test/test.lua b/test/test.lua
index 20ca0355..fc5228c5 100644
--- a/test/test.lua
+++ b/test/test.lua
@@ -183,7 +183,7 @@ function torchtest.rsqrt()
 end
 
 function torchtest.sigmoid()
-   -- cant use genericSingleOpTest, since `math.sigmoid` doesnt exist, have to use
+   -- can't use genericSingleOpTest, since `math.sigmoid` doesn't exist, have to use
    -- `torch.sigmoid` instead
    local inputValues = {-1000,-1,0,0.5,1,2,1000}
    local expectedOutput = {0.0000, 0.2689, 0.5, 0.6225, 0.7311, 0.8808, 1.000}