A simple LR parser is like a robot that reads and understands a specific type of sentence. The sentence needs to follow certain rules, kind of like a recipe, so that the robot can understand it.
The robot starts by looking at the first word in the sentence, which is called the "token". Then it looks at a big list of possible sentences that it knows how to understand. Each sentence is called a "production".
If the token matches the beginning of a production, the robot remembers that it's trying to understand that production. It keeps looking at more tokens in the sentence until it gets to the end of the production.
If all the tokens match the production, the robot successfully understands the sentence and breaks it down into its individual parts, like identifying the nouns and verbs in the sentence. If the tokens don't match the production, the robot gets stuck and can't understand the sentence.
Think of it like putting together a puzzle. The robot has a bunch of puzzle pieces that it can use to make a specific picture. If the first few pieces of the puzzle match the picture that the robot is trying to make, it will keep looking for more pieces until the puzzle is complete. If the pieces don't match, the robot can't complete the puzzle.