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  2. LR parser - Wikipedia

    en.wikipedia.org/wiki/LR_parser

    LR parsing is not a useful technique for human languages with ambiguous grammars that depend on the interplay of words. Human languages are better handled by parsers like Generalized LR parser , the Earley parser , or the CYK algorithm that can simultaneously compute all possible parse trees in one pass.

  3. Recursive descent parser - Wikipedia

    en.wikipedia.org/wiki/Recursive_descent_parser

    Even when they terminate, parsers that use recursive descent with backtracking may require exponential time. Although predictive parsers are widely used, and are frequently chosen if writing a parser by hand, programmers often prefer to use a table-based parser produced by a parser generator , [ citation needed ] either for an LL( k ) language ...

  4. LALR parser - Wikipedia

    en.wikipedia.org/wiki/LALR_parser

    As with other types of LR parsers, an LALR parser is quite efficient at finding the single correct bottom-up parse in a single left-to-right scan over the input stream, because it does not need to use backtracking. Being a lookahead parser by definition, it always uses a lookahead, with LALR(1) being the most-common case.

  5. Simple LR parser - Wikipedia

    en.wikipedia.org/wiki/Simple_LR_parser

    In computer science, a Simple LR or SLR parser is a type of LR parser with small parse tables and a relatively simple parser generator algorithm. As with other types of LR(1) parser, an SLR parser is quite efficient at finding the single correct bottom-up parse in a single left-to-right scan over the input stream, without guesswork or backtracking.

  6. Shift-reduce parser - Wikipedia

    en.wikipedia.org/wiki/Shift-Reduce_Parser

    A shift-reduce parser is a class of efficient, table-driven bottom-up parsing methods for computer languages and other notations formally defined by a grammar.The parsing methods most commonly used for parsing programming languages, LR parsing and its variations, are shift-reduce methods. [1]

  7. Backtracking - Wikipedia

    en.wikipedia.org/wiki/Backtracking

    Backtracking is an important tool for solving constraint satisfaction problems, [2] such as crosswords, verbal arithmetic, Sudoku, and many other puzzles. It is often the most convenient technique for parsing, [3] for the knapsack problem and other combinatorial optimization problems.

  8. Canonical LR parser - Wikipedia

    en.wikipedia.org/wiki/Canonical_LR_parser

    A canonical LR parser (also called a LR(1) parser) is a type of bottom-up parsing algorithm used in computer science to analyze and process programming languages.It is based on the LR parsing technique, which stands for "left-to-right, rightmost derivation in reverse."

  9. Recursive ascent parser - Wikipedia

    en.wikipedia.org/wiki/Recursive_ascent_parser

    In computer science, recursive ascent parsing is a technique for implementing an LR parser which uses mutually-recursive functions rather than tables. Thus, the parser is directly encoded in the host language similar to recursive descent .