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    Top-Down and Predictive Parsing Notes for GATE CS

    Top-Down and Predictive Parsing notes for GATE CS: 37 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice questions.

    top down and predictive parsing notes

    Chapter Roadmap: Top-Down and Predictive Parsing

    Chapter · Top-Down and Predictive Parsing
    Three topics, one engine
    From "what can start a string" to "which table cell to fill".
    01
    FIRST and FOLLOW Set Computation
    This topic · moderate weight · 2 PYQs in this course
    Build the two foundational sets that make predictive parsing possible. By the end you will compute FIRST and FOLLOW for any CFG by hand.
    02
    LL(1) Grammar Conditions and Predictive Parsing
    Moderate weight · 2 PYQs in this course
    Use FIRST and FOLLOW to decide whether a grammar is LL(1). Master the disjointness condition that removes ambiguity in top-down choices.
    03
    LL(1) Parsing Table Construction
    Moderate weight · 2 PYQs in this course
    Turn the disjointness condition into a concrete table. Fill entries, detect conflicts, and read off parse steps.
    By the end of this chapter you will
    • Compute FIRST and FOLLOW sets for any CFG in under two minutes.
    • Decide in one glance whether a grammar is LL(1) or not.
    • Build the full LL(1) parsing table and trace a derivation.

    What are FIRST and FOLLOW, and why do they exist?

    A top-down parser expands non-terminals one at a time. At each step it must pick a production. To pick correctly while reading the input only once, it needs two pieces of information about every non-terminal :

    FIRST of

    The set of terminals that can appear at the very beginning of a string derived from .

    FOLLOW of

    The set of terminals that can appear immediately to the right of in some sentential form.

    Together they answer the parser's only real question:

    "Given that I am about to expand , and the next input token is , which production of should I use?"

    If the grammar is well-behaved (LL(1)), the answer is unique. Computing FIRST and FOLLOW is the first step toward checking that, and toward building the parsing table.

    FIRST set — formal definition

    For any string of grammar symbols (terminals and non-terminals mixed),

    where is the set of terminals and is any string of grammar symbols.

    Special case. If , then .

    Immediate Corollaries

    • For a single terminal : .
    • For a single non-terminal : .

    The whole computation is just repeated application of these two facts, plus one rule for strings of length greater than one.

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    Top-Down and Predictive Parsing Notes for GATE CS

    Top-Down and Predictive Parsing notes for GATE CS: 37 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice questions.

    Chapter Roadmap: Top-Down and Predictive Parsing

    Chapter · Top-Down and Predictive Parsing
    Three topics, one engine
    From "what can start a string" to "which table cell to fill".
    01
    FIRST and FOLLOW Set Computation
    This topic · moderate weight · 2 PYQs in this course
    Build the two foundational sets that make predictive parsing possible. By the end you will compute FIRST and FOLLOW for any CFG by hand.
    02
    LL(1) Grammar Conditions and Predictive Parsing
    Moderate weight · 2 PYQs in this course
    Use FIRST and FOLLOW to decide whether a grammar is LL(1). Master the disjointness condition that removes ambiguity in top-down choices.
    03
    LL(1) Parsing Table Construction
    Moderate weight · 2 PYQs in this course
    Turn the disjointness condition into a concrete table. Fill entries, detect conflicts, and read off parse steps.
    By the end of this chapter you will
    • Compute FIRST and FOLLOW sets for any CFG in under two minutes.
    • Decide in one glance whether a grammar is LL(1) or not.
    • Build the full LL(1) parsing table and trace a derivation.

    What are FIRST and FOLLOW, and why do they exist?

    A top-down parser expands non-terminals one at a time. At each step it must pick a production. To pick correctly while reading the input only once, it needs two pieces of information about every non-terminal :

    FIRST of

    The set of terminals that can appear at the very beginning of a string derived from .

    FOLLOW of

    The set of terminals that can appear immediately to the right of in some sentential form.

    Together they answer the parser's only real question:

    "Given that I am about to expand , and the next input token is , which production of should I use?"

    If the grammar is well-behaved (LL(1)), the answer is unique. Computing FIRST and FOLLOW is the first step toward checking that, and toward building the parsing table.

    FIRST set — formal definition

    For any string of grammar symbols (terminals and non-terminals mixed),

    where is the set of terminals and is any string of grammar symbols.

    Special case. If , then .

    Immediate Corollaries

    • For a single terminal : .
    • For a single non-terminal : .

    The whole computation is just repeated application of these two facts, plus one rule for strings of length greater than one.

    Computing FIRST of a string — the four rules

    To compute for a string of grammar symbols, walk left to right:

    StepAction
    1Start with .
    2If , stop. Result is .
    3Else replace .
    4If , stop. Else continue with , and so on.
    5If every can derive , then is in the final set.
    In one line. Add . If it contains , also add ; if that also contains , add ; stop at the first non-nullable symbol.

    For a non-terminal with productions :

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