diff --git a/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp b/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp
--- a/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp
+++ b/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorCodegen.cpp
@@ -596,14 +596,14 @@
     if (failed(typeConverter->convertTypes(op.getResultTypes(), finalRetTy)))
       return failure();
 
-    // (1) Genereates new call with flattened return value.
+    // (1) Generates new call with flattened return value.
     SmallVector<Value> flattened;
     flattenOperands(adaptor.getOperands(), flattened);
     auto newCall = rewriter.create<func::CallOp>(loc, op.getCallee(),
                                                  finalRetTy, flattened);
     // (2) Create cast operation for sparse tensor returns.
     SmallVector<Value> castedRet;
-    // Tracks the offset of current return value (of the orignal call)
+    // Tracks the offset of current return value (of the original call)
     // relative to the new call (after sparse tensor flattening);
     unsigned retOffset = 0;
     // Temporal buffer to hold the flattened list of type for
@@ -692,7 +692,7 @@
   }
 };
 
-/// Sparse codgen rule for the alloc operator.
+/// Sparse codegen rule for the alloc operator.
 class SparseTensorAllocConverter
     : public OpConversionPattern<bufferization::AllocTensorOp> {
 public:
@@ -1234,7 +1234,7 @@
     Value c0 = constantIndex(rewriter, loc, 0);
     Value c1 = constantIndex(rewriter, loc, 1);
     Value c2 = constantIndex(rewriter, loc, 2);
-    Value posBack = c0; // index to the last value in the postion array
+    Value posBack = c0; // index to the last value in the position array
     Value memSize = c1; // memory size for current array
 
     Level trailCOOStart = getCOOStart(stt.getEncoding());