diff --git a/index.bs b/index.bs
index 5da26553..113fcd4f 100644
--- a/index.bs
+++ b/index.bs
@@ -27,7 +27,7 @@ Status Text: <p>
   This document is maintained and
   updated at any time. Some parts of this document are work in progress and
   further improvements are expected to be reflected in revised Candidate
-  Recommendation Drafts and Snaphots.
+  Recommendation Drafts and Snapshots.
   </p>
   <p>Before requesting transition to <a href="https://www.w3.org/standards/types#PR">Proposed Recommendation</a>, the Working Group will seek to demonstrate that:</p>
   <ul>
@@ -1053,7 +1053,7 @@ Note: Invocations of {{MLContext/compute()}} will fail if any of the {{MLContext
 The {{MLContext/opSupportLimits()}} exposes level of support that differs across implementations at operator level. Consumers of the WebNN API are encouraged to probe feature support level by using {{MLContext/opSupportLimits()}} to determine the optimal model architecture to be deployed for each target platform.
 
 #### {{MLOpSupportLimits}} dictionary #### {#api-mlcontext-opsupportlimits-dictionary}
-The {{MLOpSupportLimits}} has following top level members, aside from these, each [=operator=] has a corresponding member defined in its builder method.
+The {{MLOpSupportLimits}} has the following top level members, aside from these, each [=operator=] has a corresponding member defined in its builder method.
 <script type="idl">
 dictionary MLOpSupportLimits {
   MLInputOperandLayout preferredInputLayout;
@@ -1559,7 +1559,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The N-D tensor of the reduced shape. The values must be of type |options|.{{MLArgMinMaxOptions/outputDataType}} in the range [0, N-1] where N is the size of the input dimension specified by axis.
 </div>
 
-{{MLOpSupportLimits}} has following members for {{MLGraphBuilder/argMin()}} and {{MLGraphBuilder/argMax()}}:
+{{MLOpSupportLimits}} has the following members for {{MLGraphBuilder/argMin()}} and {{MLGraphBuilder/argMax()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>argMin</dfn>
     :: Support limits for operator {{MLGraphBuilder/argMin()}}.
@@ -1664,7 +1664,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The batch-normalized N-D tensor of the same shape as *input*.
 </div>
 
-{{MLBatchNormalizationSupportLimits}} has following members:
+{{MLBatchNormalizationSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLBatchNormalizationSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -1680,7 +1680,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following members for {{MLGraphBuilder/batchNormalization()}}:
+{{MLOpSupportLimits}} has the following members for {{MLGraphBuilder/batchNormalization()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>batchNormalization</dfn>
     :: Support limits for operator {{MLGraphBuilder/batchNormalization()}}.
@@ -1761,7 +1761,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The N-D tensor of the same shape as *input* with each element casted to the target data type.
 </div>
 
-{{MLOpSupportLimits}} has following members for {{MLGraphBuilder/cast()}}:
+{{MLOpSupportLimits}} has the following members for {{MLGraphBuilder/cast()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>cast</dfn>
     :: Support limits for operator {{MLGraphBuilder/cast()}}.
@@ -1880,7 +1880,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/clamp()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/clamp()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>clamp</dfn>
     :: Support limits for operator {{MLGraphBuilder/clamp()}}.
@@ -1966,7 +1966,7 @@ partial dictionary MLOpSupportLimits {
     computed as the sum of all the input sizes of the same dimension.
 </div>
 
-{{MLConcatSupportLimits}} has following members:
+{{MLConcatSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLConcatSupportLimits>
     : <dfn>inputs</dfn>
     :: {{MLSupportLimits}} for all input operands.
@@ -1974,7 +1974,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/concat()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/concat()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>concat</dfn>
     :: Support limits for operator {{MLGraphBuilder/concat()}}.
@@ -2110,7 +2110,7 @@ partial dictionary MLOpSupportLimits {
     `outputSize = 1 + (inputSize - (filterSize - 1) * dilation - 1 + beginningPadding + endingPadding) / stride`
 </div>
 
-{{MLConv2dSupportLimits}} has following members:
+{{MLConv2dSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLConv2dSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -2122,7 +2122,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/conv2d()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/conv2d()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>conv2d</dfn>
     :: Support limits for operator {{MLGraphBuilder/conv2d()}}.
@@ -2322,7 +2322,7 @@ partial dictionary MLOpSupportLimits {
     `outputSize = (inputSize - 1) * stride + (filterSize - 1) * dilation + 1 - beginningPadding - endingPadding + outputPadding`
 </div>
 
-{{MLOpSupportLimits}} has following member for :
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/convTranspose2d()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>convTranspose2d</dfn>
     :: Support limits for operator {{MLGraphBuilder/convTranspose2d()}}.
@@ -2463,7 +2463,7 @@ partial dictionary MLOpSupportLimits {
         - *pow*: Compute the values of the values of the first input tensor to the power of the values of the second input tensor, element-wise.
 </div>
 
-{{MLOpSupportLimits}} has following members for eleemntwise-binary operations:
+{{MLOpSupportLimits}} has the following members for elementwise-binary operations:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>add</dfn>
     :: Support limits for operator {{MLGraphBuilder/add()}}.
@@ -2604,7 +2604,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The output tensor that contains the result of element-wise comparison of the two input tensors.
 </div>
 
-{{MLLogicalNotSupportLimits}} has following members:
+{{MLLogicalNotSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLLogicalNotSupportLimits>
     : <dfn>a</dfn>
     :: {{MLSupportLimits}} for a operand.
@@ -2612,7 +2612,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following members for element-wise logical operations:
+{{MLOpSupportLimits}} has the following members for element-wise logical operations:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>equal</dfn>
     :: Support limits for operator {{MLGraphBuilder/equal()}}.
@@ -2759,7 +2759,7 @@ partial dictionary MLOpSupportLimits {
     tensor is the same as the shape of input tensor.
 </div>
 
-{{MLOpSupportLimits}} has following members for element-wise unary operations:
+{{MLOpSupportLimits}} has the following members for element-wise unary operations:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>abs</dfn>
     :: Support limits for operator {{MLGraphBuilder/abs()}}.
@@ -2951,7 +2951,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following members for {{MLGraphBuilder/elu()}}:
+{{MLOpSupportLimits}} has the following members for {{MLGraphBuilder/elu()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>elu</dfn>
     :: Support limits for operator {{MLGraphBuilder/elu()}}.
@@ -3015,7 +3015,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The tensor with expanded size shape.
 </div>
 
-{{MLOpSupportLimits}} has following members for {{MLGraphBuilder/expand()}}:
+{{MLOpSupportLimits}} has the following members for {{MLGraphBuilder/expand()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>expand</dfn>
     :: Support limits for operator {{MLGraphBuilder/expand()}}.
@@ -3079,7 +3079,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The output N-D tensor of [=MLOperand/rank=] equal to the [=MLOperand/rank=] of *input* + the [=MLOperand/rank=] of *indices* - 1.
 </div>
 
-{{MLGatherSupportLimits}} has following members:
+{{MLGatherSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLGatherSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -3089,7 +3089,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following members for {{MLGraphBuilder/gather()}}:
+{{MLOpSupportLimits}} has the following members for {{MLGraphBuilder/gather()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>gather</dfn>
     :: Support limits for operator {{MLGraphBuilder/gather()}}.
@@ -3216,7 +3216,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/gelu()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/gelu()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>gelu</dfn>
     :: Support limits for operator {{MLGraphBuilder/gelu()}}.
@@ -3316,7 +3316,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The output 2-D tensor of shape *[M, N]* that contains the calculated product of all the inputs.
 </div>
 
-{{MLGemmSupportLimits}} has following members:
+{{MLGemmSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLGemmSupportLimits>
     : <dfn>a</dfn>
     :: {{MLSupportLimits}} for a operand.
@@ -3328,7 +3328,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/gemm()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/gemm()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>gemm</dfn>
     :: Support limits for operator {{MLGraphBuilder/gemm()}}.
@@ -3493,7 +3493,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** [=sequence=]<{{MLOperand}}>. The first element is a 3-D tensor of shape *[numDirections, batchSize, hiddenSize]*, the cell output from the last time step of the network. Additionally, if |options|.{{MLGruOptions/returnSequence}} is set to true, the second element is the 4-D output tensor of shape *[steps, numDirections, batchSize, hiddenSize]* containing every cell outputs from each time step in the temporal sequence.
 </div>
 
-{{MLGruSupportLimits}} has following members:
+{{MLGruSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLGruSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -3511,7 +3511,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for all the output operands.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/gru()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/gru()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>gru</dfn>
     :: Support limits for operator {{MLGraphBuilder/gru()}}.
@@ -3750,7 +3750,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The 2-D tensor of shape *[batchSize, hiddenSize]*, the cell output hidden state of a single time step of the recurrent network.
 </div>
 
-{{MLGruCellSupportLimits}} has following members;
+{{MLGruCellSupportLimits}} has the following members;
 <dl dfn-type=dict-member dfn-for=MLGruCellSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -3768,7 +3768,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/gruCell()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/gruCell()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>gruCell</dfn>
     :: Support limits for operator {{MLGraphBuilder/gruCell()}}.
@@ -3957,7 +3957,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/hardSigmoid()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/hardSigmoid()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>hardSigmoid</dfn>
     :: Support limits for operator {{MLGraphBuilder/hardSigmoid()}}.
@@ -4021,7 +4021,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/hardSwish()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/hardSwish()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>hardSwish</dfn>
     :: Support limits for operator {{MLGraphBuilder/hardSwish()}}.
@@ -4120,7 +4120,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The instance-normalized 4-D tensor of the same shape as *input*.
 </div>
 
-{{MLNormalizationSupportLimits}} has following members:
+{{MLNormalizationSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLNormalizationSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -4132,7 +4132,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/instanceNormalization()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/instanceNormalization()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>instanceNormalization</dfn>
     :: Support limits for operator {{MLGraphBuilder/instanceNormalization()}}.
@@ -4243,7 +4243,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The layer-normalized N-D tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/layerNormalization()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/layerNormalization()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>layerNormalization</dfn>
     :: Support limits for operator {{MLGraphBuilder/layerNormalization()}}.
@@ -4348,7 +4348,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/leakyRelu()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/leakyRelu()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>leakyRelu</dfn>
     :: Support limits for operator {{MLGraphBuilder/leakyRelu()}}.
@@ -4425,7 +4425,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/linear()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/linear()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>linear</dfn>
     :: Support limits for operator {{MLGraphBuilder/linear()}}.
@@ -4563,7 +4563,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** [=sequence=]<{{MLOperand}}>. The first element is a 3-D tensor of shape *[numDirections, batchSize, hiddenSize]*, the output hidden state from the last time step of the network. The second element is a 3-D tensor of shape *[numDirections, batchSize, hiddenSize]*, the output cell state from the last time step of the network. Additionally, if |options|.{{MLLstmOptions/returnSequence}} is set to true, the third element is the 4-D output tensor of shape *[steps, numDirections, batchSize, hiddenSize]* containing every output from each time step in the temporal sequence.
 </div>
 
-{{MLLstmSupportLimits}} has following members:
+{{MLLstmSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLLstmSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -4585,7 +4585,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for all the output operands.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/lstm()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/lstm()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>lstm</dfn>
     :: Support limits for operator {{MLGraphBuilder/lstm()}}.
@@ -4865,7 +4865,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** [=sequence=]<{{MLOperand}}>. The first element is the output hidden state of the current time step of the recurrent network. The following element is the output cell state. Both elements are 2-D tensors of shape *[batchSize, hiddenSize]*.
 </div>
 
-{{MLLstmCellSupportLimits}} has following members:
+{{MLLstmCellSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLLstmCellSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -4887,7 +4887,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for all the output operands.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/lstmCell()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/lstmCell()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>lstmCell</dfn>
     :: Support limits for operator {{MLGraphBuilder/lstmCell()}}.
@@ -5099,7 +5099,7 @@ partial dictionary MLOpSupportLimits {
         - If either *a* or *b* is `N`-dimensional where `N > 2`, it is treated as a stack of matrices with dimensions corresponding to the last two indices. The matrix multiplication will be [=broadcast=] according to [[!numpy-broadcasting-rule]]. The shapes of *a* and *b*, except the last two dimensions, must be [=bidirectionally broadcastable=]. The output is a `N`-dimensional tensor whose rank is the maximum [=MLOperand/rank=] of the input tensors. For each dimension, except the last two, of the output tensor, its size is the maximum size along that dimension of the input tensors.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/matmul()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/matmul()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>matmul</dfn>
     :: Support limits for operator {{MLGraphBuilder/matmul()}}.
@@ -5196,7 +5196,7 @@ partial dictionary MLOpSupportLimits {
     `output size = beginning padding + input size + ending padding`
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/pad()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/pad()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>pad</dfn>
     :: Support limits for operator {{MLGraphBuilder/pad()}}.
@@ -5375,7 +5375,7 @@ partial dictionary MLOpSupportLimits {
     `output size = ceil(1 + (input size - filter size + beginning padding + ending padding) / stride)`
 </div>
 
-{{MLOpSupportLimits}} has following members for pooling operations:
+{{MLOpSupportLimits}} has the following members for pooling operations:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>averagePool2d</dfn>
     :: Support limits for operator {{MLGraphBuilder/averagePool2d()}}.
@@ -5531,7 +5531,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLPreluSupportLimits}} has following members:
+{{MLPreluSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLPreluSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -5541,7 +5541,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/prelu()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/prelu()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>prelu</dfn>
     :: Support limits for operator {{MLGraphBuilder/prelu()}}.
@@ -5644,7 +5644,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The reduced output tensor. If the input operand is a scalar, the reduction function is applied to the scalar value, and the output is also a scalar.
 </div>
 
-{{MLOpSupportLimits}} has following members for reduction operations:
+{{MLOpSupportLimits}} has the following members for reduction operations:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>reduceL1</dfn>
     :: Support limits for operator {{MLGraphBuilder/reduceL1()}}.
@@ -5841,7 +5841,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/relu()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/relu()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>relu</dfn>
     :: Support limits for operator {{MLGraphBuilder/relu()}}.
@@ -5916,13 +5916,13 @@ partial dictionary MLOpSupportLimits {
     : <dfn>scales</dfn>
     ::
         A list of length 2.
-        Specifies the scaling factor for each input dimension from {{MLResample2dOptions/axes}} : *[scaleForFirstAxis, scaleForSecondAxis]*.
+        Specifies the scaling factor for each input dimension from {{MLResample2dOptions/axes}}: *[scaleForFirstAxis, scaleForSecondAxis]*.
         The default value is [1.0, 1.0].
 
     : <dfn>sizes</dfn>
     ::
         A list of length 2.
-        Specifies the target sizes for each input dimension from {{MLResample2dOptions/axes}} : *[sizeForFirstAxis, ForSecondAxis]*. When the target sizes are specified, the {{MLResample2dOptions/scales}} argument is ignored, since the scaling factor values are derived from the target sizes of the input.
+        Specifies the target sizes for each input dimension from {{MLResample2dOptions/axes}}: *[sizeForFirstAxis, sizeForSecondAxis]*. When the target sizes are specified, the {{MLResample2dOptions/scales}} argument is ignored, since the scaling factor values are derived from the target sizes of the input.
 
     : <dfn>axes</dfn>
     ::
@@ -5931,7 +5931,7 @@ partial dictionary MLOpSupportLimits {
         The default value is [2, 3].
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/resample2d()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/resample2d()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>resample2d</dfn>
     :: Support limits for operator {{MLGraphBuilder/resample2d()}}.
@@ -6008,7 +6008,7 @@ partial dictionary MLOpSupportLimits {
     tensor is specified by the *newShape* argument.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/reshape()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/reshape()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>reshape</dfn>
     :: Support limits for operator {{MLGraphBuilder/reshape()}}.
@@ -6058,7 +6058,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/sigmoid()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/sigmoid()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>sigmoid</dfn>
     :: Support limits for operator {{MLGraphBuilder/sigmoid()}}.
@@ -6120,7 +6120,7 @@ partial  dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The output tensor of the same rank as the input tensor with tensor values stripped to the specified starting and ending indices in each dimension.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/slice()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/slice()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>slice</dfn>
     :: Support limits for operator {{MLGraphBuilder/slice()}}.
@@ -6175,7 +6175,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output N-D tensor that contains the softmax results, of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/softmax()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/softmax()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>softmax</dfn>
     :: Support limits for operator {{MLGraphBuilder/softmax()}}.
@@ -6242,7 +6242,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/softplus()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/softplus()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>softplus</dfn>
     :: Support limits for operator {{MLGraphBuilder/softplus()}}.
@@ -6314,7 +6314,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/softsign()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/softsign()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>softsign</dfn>
     :: Support limits for operator {{MLGraphBuilder/softsign()}}.
@@ -6377,7 +6377,7 @@ partial dictionary MLOpSupportLimits {
 </dl>
 
 
-{{MLSplitSupportLimits}} has following members:
+{{MLSplitSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLSplitSupportLimits>
     : <dfn>input</dfn>
     :: {{MLSupportLimits}} for input operand.
@@ -6385,7 +6385,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for all the output operands.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/split()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/split()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>split</dfn>
     :: Support limits for operator {{MLGraphBuilder/split()}}.
@@ -6471,7 +6471,7 @@ partial dictionary MLOpSupportLimits {
         - an {{MLOperand}}. The output tensor of the same shape as *input*.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/tanh()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/tanh()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>tanh</dfn>
     :: Support limits for operator {{MLGraphBuilder/tanh()}}.
@@ -6545,7 +6545,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The permuted or transposed N-D tensor.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/transpose()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/transpose()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>transpose</dfn>
     :: Support limits for operator {{MLGraphBuilder/transpose()}}.
@@ -6607,7 +6607,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The output tensor representing a triangular matrix, or batch of matrices which is the same shape as the input.
 </div>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/triangular()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/triangular()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>triangular</dfn>
     :: Support limits for operator {{MLGraphBuilder/triangular()}}.
@@ -6725,7 +6725,7 @@ partial dictionary MLOpSupportLimits {
     **Returns:** an {{MLOperand}}. The output tensor that contains the values selected element-wise from either the trueValue or the falseValue tensor.
 </div>
 
-{{MLWhereSupportLimits}} has following members:
+{{MLWhereSupportLimits}} has the following members:
 <dl dfn-type=dict-member dfn-for=MLWhereSupportLimits>
     : <dfn>condition</dfn>
     :: {{MLSupportLimits}} for condition operand.
@@ -6737,7 +6737,7 @@ partial dictionary MLOpSupportLimits {
     :: {{MLSupportLimits}} for output operand.
 </dl>
 
-{{MLOpSupportLimits}} has following member for {{MLGraphBuilder/where()}}:
+{{MLOpSupportLimits}} has the following member for {{MLGraphBuilder/where()}}:
 <dl dfn-type=dict-member dfn-for=MLOpSupportLimits>
     : <dfn>where</dfn>
     :: Support limits for operator {{MLGraphBuilder/where()}}.