Fix typos

index.bs

@@ -1115,7 +1115,7 @@ Bring-your-own-buffer variant of {{MLContext/readTensor(tensor)}}. Reads back th
         1. Otherwise, [=queue an ML task=] with |global| and the following steps:
             1. If |outputData| is [=BufferSource/detached=], [=reject=] |promise| with a {{TypeError}}, and abort these steps.
 
-                Note: [=Validating buffer with descriptor=] above will fail if |outputData| is detached, but it is possible that |outputData| could detach between then and now.
+                Note: [=Validating buffer with descriptor=] above will fail if |outputData| is detached, but it is possible that |outputData| could be detached between that step and this one.
 
             1. [=ArrayBuffer/Write=] |bytes| to |outputData|.
             1. [=Resolve=] |promise| with {{undefined}}.
@@ -2683,7 +2683,7 @@ partial dictionary MLOpSupportLimits {
             interpreted according to the value of *options*.{{MLConvTranspose2dOptions/filterLayout}} and {{MLConvTranspose2dOptions/groups}}.
         - <dfn>options</dfn>: an optional {{MLConvTranspose2dOptions}}.
 
-    **Returns:** an {{MLOperand}}. The output 4-D tensor that contains the transposed convolution result. The output shape is interpreted according to the *options*.{{MLConvTranspose2dOptions/inputLayout}} value. More specifically, unless the *options*.{{MLConvTranspose2dOptions/outputSizes}} values are explicitly specified, the *options*.{{MLConvTranspose2dOptions/outputPadding}} is be needed to compute the spatial dimension values of the output tensor as follows:
+    **Returns:** an {{MLOperand}}. The output 4-D tensor that contains the transposed convolution result. The output shape is interpreted according to the *options*.{{MLConvTranspose2dOptions/inputLayout}} value. More specifically, unless the *options*.{{MLConvTranspose2dOptions/outputSizes}} values are explicitly specified, the *options*.{{MLConvTranspose2dOptions/outputPadding}} is needed to compute the spatial dimension values of the output tensor as follows:
 
     `outputSize = (inputSize - 1) * stride + (filterSize - 1) * dilation + 1 - beginningPadding - endingPadding + outputPadding`
 </div>