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    Theory of Automata
    COMP3148
    Progress0 / 25 topics
    Topics
    1. Finite State Models2. Language definitions preliminaries3. Regular expressions/Regular languages4. Finite automata (FAs)5. Transition graphs (TGs)6. NFAs7. Kleene's theorem8. Transducers (automata with output)9. Pumping lemma and non-regular language10. Grammars and PDA11. CFGs12. Derivations, derivation trees and ambiguity13. Simplifying CFLs14. Normal form grammars and parsing15. Decidability16. Context sensitive languages17. Grammars and linear bounded automata (LBA)18. Chomsky's hierarchy of grammars19. Turing Machines Theory20. Turing machines21. Post machine22. Variations on TM23. TM encoding24. Universal Turing Machine25. Defining Computers by TMs
    COMP3148›Simplifying CFLs
    Theory of AutomataTopic 13 of 25

    Simplifying CFLs

    8 minread
    1,357words
    Intermediatelevel

    Simplifying Context-Free Languages (CFLs)

    In formal language theory, Context-Free Languages (CFLs) can often be represented by Context-Free Grammars (CFGs). Simplifying CFLs involves transforming the CFGs into equivalent grammars that are easier to work with, more efficient for parsing, or have a simpler structure. These simplifications can improve the understanding of the grammar, help in the construction of parsers, and reduce ambiguities or redundancies.

    Main Techniques for Simplifying CFLs

    Several techniques are available for simplifying CFGs. These techniques generally aim to remove unnecessary complexity, redundancy, and ambiguity from the grammar, while still generating the same language. The major simplifications include:

    1. Eliminating Null Productions (Empty Productions)
    2. Eliminating Unit Productions
    3. Eliminating Useless Symbols
    4. Converting to Chomsky Normal Form (CNF)
    5. Converting to Greibach Normal Form (GNF)

    1. Eliminating Null Productions (Empty Productions)

    A null production is a production rule that generates the empty string ϵ\epsilonϵ. For example, if we have a rule A→ϵA \to \epsilonA→ϵ, it means that the non-terminal AAA can be replaced by the empty string.

    Steps to Remove Null Productions:
    1. Identify non-terminal symbols that can derive ϵ\epsilonϵ. This can be done by marking non-terminals that can directly produce ϵ\epsilonϵ, then checking for other non-terminals that can derive these marked symbols.

    2. For each production, eliminate the occurrences of nullable non-terminals (those that can derive ϵ\epsilonϵ). For each nullable non-terminal, generate new productions that account for the removal of that non-terminal.

    Example:

    Consider the grammar:

    S→Aa∣ϵS \to Aa | \epsilonS→Aa∣ϵ A→bA \to bA→b

    The non-terminal SSS has the production S→ϵS \to \epsilonS→ϵ, and AAA is nullable because A→ϵA \to \epsilonA→ϵ.

    To eliminate the null production:

    1. Remove S→ϵS \to \epsilonS→ϵ.
    2. For any production that contains AAA, we generate alternatives without AAA. So:
      • S→AaS \to AaS→Aa becomes S→aS \to aS→a as a result of removing AAA.

    The simplified grammar is:

    S→Aa∣aS \to Aa | aS→Aa∣a A→bA \to bA→b

    2. Eliminating Unit Productions

    A unit production is a production of the form A→BA \to BA→B, where both AAA and BBB are non-terminals.

    Steps to Remove Unit Productions:
    1. Identify all unit productions.
    2. For each unit production A→BA \to BA→B, replace AAA with all productions of BBB. This step is repeated recursively for any new unit productions discovered.
    Example:

    Consider the grammar:

    S→AS \to AS→A A→bA \to bA→b

    The production S→AS \to AS→A is a unit production. We remove this unit production by replacing S→AS \to AS→A with S→bS \to bS→b, as AAA derives bbb.

    The simplified grammar becomes:

    S→bS \to bS→b A→bA \to bA→b

    3. Eliminating Useless Symbols

    A useless symbol is a non-terminal that does not contribute to generating any terminal string in the language. These symbols are of two types:

    • Non-generating symbols: Non-terminals that cannot generate any terminal string.
    • Unreachable symbols: Non-terminals that cannot be reached from the start symbol.
    Steps to Eliminate Useless Symbols:
    1. Remove non-generating symbols: Identify all non-terminals that can eventually produce terminal strings. Any non-terminal that cannot be reached from the start symbol or does not lead to a terminal string should be removed.

    2. Remove unreachable symbols: Identify all non-terminals that are not reachable from the start symbol (i.e., there’s no derivation that can reach that symbol).

    Example:

    Consider the grammar:

    S→A∣bS \to A | bS→A∣b A→CA \to CA→C C→dC \to dC→d

    Here, CCC is reachable but not generating because it can derive ddd, but AAA cannot generate any terminal string because it only leads to CCC (which is non-generating). So, we remove AAA and CCC from the grammar.

    The simplified grammar becomes:

    S→bS \to bS→b

    4. Converting to Chomsky Normal Form (CNF)

    A Chomsky Normal Form (CNF) is a form of a CFG where all production rules satisfy one of the following two conditions:

    • A→BCA \to BCA→BC (where AAA, BBB, and CCC are non-terminals).
    • A→aA \to aA→a (where AAA is a non-terminal and aaa is a terminal).

    CNF makes parsing algorithms (like the CYK algorithm) more efficient and simpler to implement.

    Steps to Convert a CFG to CNF:
    1. Eliminate ϵ\epsilonϵ-productions: Remove any productions that derive the empty string ϵ\epsilonϵ, as described above.

    2. Eliminate unit productions: Remove any production of the form A→BA \to BA→B, as described above.

    3. Convert rules with right-hand sides longer than 2 symbols: Any production of the form A→X1X2...XnA \to X_1 X_2 ... X_nA→X1​X2​...Xn​ (where n≥3n \geq 3n≥3) should be broken down into binary rules (i.e., rules with exactly two non-terminals on the right-hand side).

    4. Ensure terminal symbols are only in the right form: If a production has a terminal symbol mixed with non-terminals, we introduce a new non-terminal to represent the terminal.

    Example:

    Consider the grammar:

    S→aSb∣SS∣ϵS \to aSb | SS | \epsilonS→aSb∣SS∣ϵ

    To convert this to CNF, we follow these steps:

    1. Eliminate ϵ\epsilonϵ-productions: Remove the production S→ϵS \to \epsilonS→ϵ.
    2. Eliminate unit productions and ensure the remaining rules are binary or terminal-based.

    The final CNF might look like this:

    S→aB∣ABS \to aB | ABS→aB∣AB B→SbB \to SbB→Sb A→aA \to aA→a

    5. Converting to Greibach Normal Form (GNF)

    A Greibach Normal Form (GNF) is a form where every production is of the form:

    A→aαA \to a \alphaA→aα

    where aaa is a terminal and α\alphaα is a string of non-terminals (which can be empty).

    GNF is particularly useful in parsing algorithms like LL parsers, where productions need to start with a terminal symbol for top-down parsing.

    Steps to Convert a CFG to GNF:
    1. Ensure that all productions start with a terminal symbol. If a non-terminal has a production that starts with a non-terminal, this needs to be adjusted so that the right-hand side starts with a terminal.

    2. Modify the rules accordingly, introducing new non-terminals to handle complex cases.

    Conclusion

    Simplifying Context-Free Languages (CFLs) involves transforming the CFGs that describe them into more efficient or easier-to-work-with forms. These transformations include eliminating unnecessary productions (null, unit), removing useless symbols, and converting the grammar into specific normal forms like Chomsky Normal Form (CNF) or Greibach Normal Form (GNF). Simplifying CFLs not only makes the grammar more efficient but also helps in developing parsers and understanding the structure of the language more clearly.

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    Derivations, derivation trees and ambiguity
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    Normal form grammars and parsing

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