[DOC] Minor modification to Streaming docs with regards to parallel data receiving

docs/streaming-programming-guide.md

@@ -1946,10 +1946,10 @@ creates a single receiver (running on a worker machine) that receives a single s
 Receiving multiple data streams can therefore be achieved by creating multiple input DStreams
 and configuring them to receive different partitions of the data stream from the source(s).
 For example, a single Kafka input DStream receiving two topics of data can be split into two
-Kafka input streams, each receiving only one topic. This would run two receivers on two workers,
-thus allowing data to be received in parallel, and increasing overall throughput. These multiple
-DStream can be unioned together to create a single DStream. Then the transformations that was
-being applied on the single input DStream can applied on the unified stream. This is done as follows.
+Kafka input streams, each receiving only one topic. This would run two receivers,
+allowing data to be received in parallel, and increasing overall throughput. These multiple
+DStreams can be unioned together to create a single DStream. Then the transformations that were
+being applied on a single input DStream can be applied on the unified stream. This is done as follows.
 
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